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2020 – today
- 2025
[j25]Inzamamul Alam, Md. Samiullah, S. M. Asaduzzaman, Upama Kabir, A. M. Aahad, Simon S. Woo:
MIRACLE: Malware image recognition and classification by layered extraction. Data Min. Knowl. Discov. 39(1): 10 (2025)- 2024
- [j24]Sowon Jeon, Gilhee Lee, Hyoungshick Kim, Simon S. Woo:
Design and evaluation of highly accurate smart contract code vulnerability detection framework. Data Min. Knowl. Discov. 38(3): 888-912 (2024) - [j23]Taejune Kim
, Yun-Gyoo Lee, Inho Jeong, Soo-Youn Ham, Simon S. Woo:
Patch-wise vector quantization for unsupervised medical anomaly detection. Pattern Recognit. Lett. 184: 205-211 (2024) - [j22]SangEun Lee, Seoyun Kim, Yeonju Chu, JeongWon Choi, Eunil Park, Simon S. Woo:
EAE-GAN: Emotion-Aware Emoji Generative Adversarial Network for Computational Modeling Diverse and Fine-Grained Human Emotions. IEEE Trans. Comput. Soc. Syst. 11(3): 3862-3872 (2024) - [j21]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. IEEE Trans. Dependable Secur. Comput. 21(4): 3963-3976 (2024) - [c119]Seunghoo Hong, Juhun Lee, Simon S. Woo:
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. AAAI 2024: 21143-21151 - [c118]Hyunjune Kim, Sangyong Lee, Simon S. Woo:
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation. AAAI 2024: 21241-21248 - [c117]Hyunmin Choi, Simon S. Woo, Hyoungshick Kim:
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication. AAAI 2024: 21976-21985 - [c116]Binh Minh Le, Shahroz Tariq, Simon S. Woo:
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense. ACCV (7) 2024: 109-127 - [c115]Md. Tanvir Islam, Inzamamul Alam, Simon S. Woo, Saeed Anwar, Ik Hyun Lee, Khan Muhammad:
LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond. ACCV (5) 2024: 348-365 - [c114]Inzamamul Alam, Muhammad Shahid Muneer, Simon S. Woo:
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints. CIKM 2024: 4332-4340 - [c113]Girim Ban, Hyeonseok Yun, Banseok Lee, David Sung, Simon S. Woo:
Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing. CIKM 2024: 4358-4365 - [c112]Hyunmin Choi, Jiwon Kim, Chiyoung Song, Simon S. Woo, Hyoungshick Kim:
Blind-Match: Efficient Homomorphic Encryption-Based 1: N Matching for Privacy-Preserving Biometric Identification. CIKM 2024: 4423-4430 - [c111]Seung-Yeon Back, Geonho Son, Dahye Jeong, Eunil Park, Simon S. Woo:
Preserving Old Memories in Vivid Detail: Human-Interactive Photo Restoration Framework. CIKM 2024: 5180-5184 - [c110]Binh Minh Le, Simon S. Woo:
Gradient Alignment for Cross-Domain Face Anti-Spoofing. CVPR 2024: 188-199 - [c109]Razaib Tariq, Minji Heo, Simon S. Woo, Shahroz Tariq:
Beyond the Screen: Evaluating Deepfake Detectors under Moiré Pattern Effects. CVPR Workshops 2024: 4429-4439 - [c108]Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko:
Continuous Memory Representation for Anomaly Detection. ECCV (51) 2024: 438-454 - [c107]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images Under Image Degradation. ICASSP 2024: 7275-7279 - [c106]Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy, Amin Ahsan Ali, Simon S. Woo:
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-transfer. ICPR (11) 2024: 46-61 - [c105]Kangjun Lee, Simon S. Woo:
Satellite State Prediction and Maneuver Detection Analysis Using NCDEs. ICPR (9) 2024: 225-241 - [c104]Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali, Simon S. Woo:
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection. ICPR (9) 2024: 242-257 - [c103]Inzamamul Alam, Md. Samiullah, Upama Kabir, Simon S. Woo, Carson K. Leung, Hoang Hai Nguyen:
SREMIC: Spatial Relation Extraction-based Malware Image Classification. IMCOM 2024: 1-8 - [c102]Geonho Son, Juhun Lee, Simon S. Woo:
Disrupting Diffusion-based Inpainters with Semantic Digression. IJCAI 2024: 7735-7743 - [c101]Kangjun Lee, Inho Jung, Simon S. Woo:
iFakeDetector: Real Time Integrated Web-based Deepfake Detection System. IJCAI 2024: 8717-8720 - [c100]Changrok So, Simon S. Woo, Jong Hwan Ko:
DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection. IJCNN 2024: 1-9 - [c99]Seungwon Jeong, Soyeon Woo, Daewon Chung, Simon S. Woo, Youjin Shin:
Decomposed Attention Segment Recurrent Neural Network for Orbit Prediction. KDD 2024: 5172-5182 - [c98]Binh Minh Le, Simon S. Woo:
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning. PAKDD (2) 2024: 131-143 - [c97]Jeongho Kim, Simon S. Woo:
Relation-Aware Label Smoothing for Self-KD. PAKDD (2) 2024: 197-209 - [c96]Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo:
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction. PAKDD (6) 2024: 288-299 - [c95]Sangyup Lee, Simon S. Woo:
Saliency-Aware Time Series Anomaly Detection for Space Applications. PAKDD (1) 2024: 327-339 - [c94]Simon S. Woo, Daeyoung Yoon, Yuseung Gim, Eunseok Park:
RAAD: Reinforced Adversarial Anomaly Detector. SAC 2024: 883-891 - [c93]Girim Ban, Simon S. Woo, David Sung:
Action Attention GRU: A Data-Driven Approach for Enhancing Purchase Predictions in Digital Marketing. SAC 2024: 919-926 - [c92]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. SVCC 2024: 1-7 - [c91]Gwanghan Lee, Saebyeol Shin, Taeyoung Na, Simon S. Woo:
Real-Time User-guided Adaptive Colorization with Vision Transformer. WACV 2024: 473-482 - [c90]Simon S. Woo:
Revisiting 30 years of the Network Time Protocol. WWW (Companion Volume) 2024: 1107-1110 - [i43]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation. CoRR abs/2401.02113 (2024) - [i42]Binh Minh Le, Jiwon Kim, Shahroz Tariq, Kristen Moore, Alsharif Abuadbba, Simon S. Woo:
SoK: Facial Deepfake Detectors. CoRR abs/2401.04364 (2024) - [i41]Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S. Woo, Jong Hwan Ko:
Continuous Memory Representation for Anomaly Detection. CoRR abs/2402.18293 (2024) - [i40]Binh Minh Le, Simon S. Woo:
Gradient Alignment for Cross-Domain Face Anti-Spoofing. CoRR abs/2402.18817 (2024) - [i39]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR abs/2405.01934 (2024) - [i38]Geonho Son, Juhun Lee, Simon S. Woo:
Disrupting Diffusion-based Inpainters with Semantic Digression. CoRR abs/2407.10277 (2024) - [i37]Razaib Tariq, Shahroz Tariq, Simon S. Woo:
Exploring the Impact of Moire Pattern on Deepfake Detectors. CoRR abs/2407.10399 (2024) - [i36]Hyunmin Choi, Jiwon Kim, Chiyoung Song, Simon S. Woo, Hyoungshick Kim:
Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification. CoRR abs/2408.06167 (2024) - [i35]Kangjun Lee, Minha Kim, Youngho Jun, Simon S. Woo:
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System. CoRR abs/2409.05346 (2024) - [i34]Inzamamul Alam, Muhammad Shahid Muneer, Simon S. Woo:
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints. CoRR abs/2409.07913 (2024) - [i33]Seung-Yeon Back, Geonho Son, Dahye Jeong, Eunil Park, Simon S. Woo:
Preserving Old Memories in Vivid Detail: Human-Interactive Photo Restoration Framework. CoRR abs/2410.09529 (2024) - [i32]Md. Tanvir Islam, Inzamamul Alam, Simon S. Woo, Saeed Anwar, Ik Hyun Lee, Khan Muhammad:
LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond. CoRR abs/2410.09831 (2024) - [i31]Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy, Amin Ahsan Ali, Simon S. Woo:
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer. CoRR abs/2410.15589 (2024) - [i30]Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali, Simon S. Woo:
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection. CoRR abs/2410.22735 (2024) - 2023
- [j20]Chingis Oinar, Binh Minh Le, Simon S. Woo:
Expectation-Maximization via Pretext-Invariant Representations. IEEE Access 11: 65266-65276 (2023) - [j19]Chingis Oinar, Binh Minh Le, Simon S. Woo:
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition. IEEE Access 11: 137138-137150 (2023) - [j18]Shahroz Tariq, Sowon Jeon, Simon S. Woo:
Evaluating Trustworthiness and Racial Bias in Face Recognition APIs Using Deepfakes. Computer 56(5): 51-61 (2023) - [j17]Seonghye Jeong, Seongmoon Jeong, Simon S. Woo, Jong Hwan Ko:
An overhead-free region-based JPEG framework for task-driven image compression. Pattern Recognit. Lett. 165: 1-8 (2023) - [j16]Siwon Huh, Myungkyu Shim, Jihwan Lee, Simon S. Woo, Hyoungshick Kim, Hojoon Lee:
DID We Miss Anything?: Towards Privacy-Preserving Decentralized ID Architecture. IEEE Trans. Dependable Secur. Comput. 20(6): 4881-4898 (2023) - [c89]Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, Jinyoung Han:
SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection. CIKM 2023: 3993-3997 - [c88]Sangyong Lee, Simon S. Woo:
UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks. CIKM 2023: 4043-4047 - [c87]Beomsang Cho, Binh Minh Le, Jiwon Kim, Simon S. Woo, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore:
Towards Understanding of Deepfake Videos in the Wild. CIKM 2023: 4530-4537 - [c86]Shahroz Tariq, Daewon Chung, Simon S. Woo, Youjin Shin:
Anomaly and Novelty detection for Satellite and Drone systems (ANSD '23). CIKM 2023: 5294-5295 - [c85]Eun-Ju Park, Seung-Yeon Back, Jeongho Kim, Simon S. Woo:
KID34K: A Dataset for Online Identity Card Fraud Detection. CIKM 2023: 5381-5385 - [c84]Binh Minh Le, Simon S. Woo:
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning. ICCV 2023: 22321-22332 - [c83]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation. ICIP 2023: 3165-3169 - [c82]Kyunghee Jung, Toan Duc Nguyen, Duc-Tai Le, Junghyun Bum, Simon S. Woo, Hyunseung Choo:
Hand Bone X-rays Segmentation and Congregation for Age Assessment using Deep Learning. ICOIN 2023: 565-568 - [c81]Jeongho Kim, Hanbeen Lee, Simon S. Woo:
IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation. IJCAI 2023: 974-982 - [c80]Jeongho Kim, Yun-Gyoo Lee, Donggeun Ko, Taejune Kim, Soo-Youn Ham, Simon S. Woo:
MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography. SAC 2023: 575-584 - [c79]Geunsu Kim, Gyudo Park, Soohyeok Kang, Simon S. Woo:
S-ViT: Sparse Vision Transformer for Accurate Face Recognition. SAC 2023: 1130-1138 - [c78]Giljun Lee, Jinbeom Kim, Taejune Kim, Simon S. Woo:
Rotated-DETR: an End-to-End Transformer-based Oriented Object Detector for Aerial Images. SAC 2023: 1248-1255 - [c77]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
CFL-Net: Image Forgery Localization Using Contrastive Learning. WACV 2023: 4631-4640 - [c76]Kishor Kumar Bhaumik, Simon S. Woo:
Exploiting Inconsistencies in Object Representations for Deepfake Video Detection. WDC@AsiaCCS 2023: 11-15 - [c75]Binh Minh Le, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore, Simon S. Woo:
Why Do Facial Deepfake Detectors Fail? WDC@AsiaCCS 2023: 24-28 - [e2]Simon S. Woo, Shahroz Tariq, Sharif Abuadbba, Kristen Moore:
Proceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, WDC 2023, Melbourne, VIC, Australia, July 10-14, 2023. ACM 2023 [contents] - [i29]Binh Minh Le, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore, Simon S. Woo:
Why Do Deepfake Detectors Fail? CoRR abs/2302.13156 (2023) - [i28]Binh Minh Le, Shahroz Tariq, Simon S. Woo:
OTJR: Optimal Transport Meets Optimal Jacobian Regularization for Adversarial Robustness. CoRR abs/2303.11793 (2023) - [i27]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06496 (2023) - [i26]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation. CoRR abs/2307.11052 (2023) - [i25]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. CoRR abs/2307.11906 (2023) - [i24]Beomsang Cho, Binh Minh Le, Jiwon Kim, Simon S. Woo, Shahroz Tariq, Alsharif Abuadbba, Kristen Moore:
Towards Understanding of Deepfake Videos in the Wild. CoRR abs/2309.01919 (2023) - [i23]Binh Minh Le, Simon S. Woo:
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning. CoRR abs/2309.05911 (2023) - [i22]Hyunmin Choi, Simon S. Woo, Hyoungshick Kim:
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication. CoRR abs/2312.11575 (2023) - [i21]Seunghoo Hong, Juhun Lee, Simon S. Woo:
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. CoRR abs/2312.12807 (2023) - [i20]Hyunjune Kim, Sangyong Lee, Simon S. Woo:
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation. CoRR abs/2312.16823 (2023) - 2022
- [j15]Junhyung Kang, Shahroz Tariq, Han Oh, Simon S. Woo:
A Survey of Deep Learning-Based Object Detection Methods and Datasets for Overhead Imagery. IEEE Access 10: 20118-20134 (2022) - [j14]Youjin Shin, Simon S. Woo:
PasswordTensor: Analyzing and explaining password strength using tensor decomposition. Comput. Secur. 116: 102634 (2022) - [j13]Hasam Khalid, Shahroz Tariq, TaeSoo Kim, Jong Hwan Ko, Simon S. Woo:
ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment. Neural Process. Lett. 54(3): 1565-1586 (2022) - [c74]Le Minh Binh, Simon S. Woo:
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. AAAI 2022: 122-130 - [c73]Jaeju An, Taejune Kim, Donggeun Ko, Sangyup Lee, Simon S. Woo:
A2: Adaptive Augmentation for Effectively Mitigating Dataset Bias. ACCV (7) 2022: 696-712 - [c72]Simon S. Woo, Shahroz Tariq, Hyoungshick Kim:
WDC'22: 1st Workshop on the Security Implications of Deepfakes and Cheapfakes. AsiaCCS 2022: 1269-1270 - [c71]Jinyong Park, Minha Kim, Simon S. Woo:
RCRL: Replay-based Continual Representation Learning in Multi-task Super-Resolution. AVSS 2022: 1-15 - [c70]Le Binh, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon S. Woo, Jelena Mirkovic:
Samba: Identifying Inappropriate Videos for Young Children on YouTube. CIKM 2022: 88-97 - [c69]Kyunghee Kim, Minha Kim, Simon S. Woo:
STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods. CIKM Workshops 2022 - [c68]Gwanghan Lee, Saebyeol Shin, Simon S. Woo:
Accelerating CNN via Dynamic Pattern-based Pruning Network. CIKM 2022: 1034-1043 - [c67]Hanbeen Lee, Jeongho Kim, Simon S. Woo:
Sliding Cross Entropy for Self-Knowledge Distillation. CIKM 2022: 1044-1053 - [c66]Youjin Shin, Eun-Ju Park, Simon S. Woo, Okchul Jung, Daewon Chung:
Selective Tensorized Multi-layer LSTM for Orbit Prediction. CIKM 2022: 3495-3504 - [c65]Shahroz Tariq, Binh Minh Le, Simon S. Woo:
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. CIKM 2022: 3534-3544 - [c64]Junyaup Kim, Simon S. Woo:
Efficient Two-stage Model Retraining for Machine Unlearning. CVPR Workshops 2022: 4360-4368 - [c63]Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon S. Woo, Sung-Ho Bae:
GLAMD: Global and Local Attention Mask Distillation for Object Detectors. ECCV (10) 2022: 460-476 - [c62]Jeongho Kim, Taejune Kim, Jeonghyeon Kim, Simon S. Woo:
Evading Deepfake Detectors via High Quality Face Pre-Processing Methods. ICPR 2022: 1937-1944 - [c61]Siho Han, Simon S. Woo:
Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series. KDD 2022: 2977-2986 - [c60]Jeong-Han Yun, Jonguk Kim, Won-Seok Hwang, Young Geun Kim, Simon S. Woo, Byung-Gil Min:
Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series. SAC 2022: 87-96 - [c59]Jeongho Kim, Shahroz Tariq, Simon S. Woo:
PTD: privacy-preserving human face processing framework using tensor decomposition. SAC 2022: 1021-1030 - [c58]Geon-Woo Park, Eun-Ju Park, Simon S. Woo:
Zoom-DF: A Dataset for Video Conferencing Deepfake. WDC@AsiaCCS 2022: 7-11 - [c57]Keeyoung Kim, Simon S. Woo:
Negative Adversarial Example Generation Against Naver's Celebrity Recognition API. WDC@AsiaCCS 2022: 19-23 - [c56]Simon S. Woo:
Advanced Machine Learning Techniques to Detect Various Types of Deepfakes. WDC@AsiaCCS 2022: 25 - [c55]Sangjun Lee, Donggeun Ko, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo:
Deepfake Detection for Fake Images with Facemasks. WDC@AsiaCCS 2022: 27-30 - [c54]Taejune Kim, Jeongho Kim, Jeonghyeon Kim, Simon S. Woo:
A Face Pre-Processing Approach to Evade Deepfake Detector. WDC@AsiaCCS 2022: 35-38 - [c53]Shahroz Tariq, Sowon Jeon, Simon S. Woo:
Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack. WWW 2022: 512-523 - [c52]Sangyup Lee, Jaeju An, Simon S. Woo:
BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos. WWW 2022: 3500-3510 - [e1]Simon S. Woo, Shahroz Tariq, Hyoungshick Kim:
WDC@AsiaCCS '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, Nagasaki, Japan, 30 May 2022. ACM 2022, ISBN 978-1-4503-9178-8 [contents] - [i19]Chingis Oinar, Binh Minh Le, Simon S. Woo:
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition. CoRR abs/2201.07394 (2022) - [i18]Donggeun Ko, Sangjun Lee, Jinyong Park, Saebyeol Shin, Donghee Hong, Simon S. Woo:
Deepfake Detection for Facial Images with Facemasks. CoRR abs/2202.11359 (2022) - [i17]Shahroz Tariq, Binh Minh Le, Simon S. Woo:
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. CoRR abs/2208.11264 (2022) - [i16]Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo:
CFL-Net: Image Forgery Localization Using Contrastive Learning. CoRR abs/2210.02182 (2022) - [i15]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. CoRR abs/2211.15926 (2022) - 2021
- [j12]Bong Gon Kim, Young-Seob Cho, Seok-Hyun Kim, Hyoungshick Kim, Simon S. Woo:
A Security Analysis of Blockchain-Based Did Services. IEEE Access 9: 22894-22913 (2021) - [j11]Junhyoung Oh, Jinhyoung Hong, Changsoo Lee, Jemin Justin Lee, Simon S. Woo, Kyungho Lee:
Will EU's GDPR Act as an Effective Enforcer to Gain Consent? IEEE Access 9: 79477-79490 (2021) - [j10]Sangyup Lee, Shahroz Tariq, Youjin Shin, Simon S. Woo:
Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet. Appl. Soft Comput. 105: 107256 (2021) - [j9]William Aiken, Hyoungshick Kim, Simon S. Woo, Jungwoo Ryoo:
Neural network laundering: Removing black-box backdoor watermarks from deep neural networks. Comput. Secur. 106: 102277 (2021) - [c51]Junhyung Kang, Simon S. Woo:
DLPNet: Dynamic Loss Parameter Network using Reinforcement Learning for Aerial Imagery Detection. AIPR 2021: 191-198 - [c50]Gwanghan Lee, Minha Kim, Minha Kim, Simon S. Woo:
Efficient Multi-Scale Feature Generation Adaptive Network. CIKM 2021: 883-892 - [c49]Minha Kim, Shahroz Tariq, Simon S. Woo:
FReTAL: Generalizing Deepfake Detection Using Knowledge Distillation and Representation Learning. CVPR Workshops 2021: 1001-1012 - [c48]Junhyung Kang, Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
Sarod: Efficient End-To-End Object Detection On SAR Images With Reinforcement Learning. ICIP 2021: 1889-1893 - [c47]Kihyung Joo, Simon S. Woo:
IVDR: Imitation learning with Variational inference and Distributional Reinforcement learning to find Optimal Driving Strategy. ICMLA 2021: 256-262 - [c46]Hasam Khalid, Minha Kim, Shahroz Tariq, Simon S. Woo:
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors. ADGD @ ACM Multimedia 2021: 7-15 - [c45]Minha Kim, Shahroz Tariq, Simon S. Woo:
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation. ACM Multimedia 2021: 337-346 - [c44]Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Minha Kim, Saebyeol Shin, Donghee Hong, Simon S. Woo:
VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection. NeurIPS Datasets and Benchmarks 2021 - [c43]Hasam Khalid, Shahroz Tariq, Minha Kim, Simon S. Woo:
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset. NeurIPS Datasets and Benchmarks 2021 - [c42]Sujin Park, Sangwon Lee, Simon S. Woo:
BertLoc: duplicate location record detection in a large-scale location dataset. SAC 2021: 942-951 - [c41]Sangyup Lee, Shahroz Tariq, Junyaup Kim, Simon S. Woo:
TAR: Generalized Forensic Framework to Detect Deepfakes Using Weakly Supervised Learning. SEC 2021: 351-366 - [c40]Young Geun Kim, Jeong-Han Yun, Siho Han, Hyoung Chun Kim, Simon S. Woo:
Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns. SEC 2021: 382-397 - [c39]Shahroz Tariq, Sangyup Lee, Simon S. Woo:
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. WWW 2021: 3625-3637 - [i14]Shahroz Tariq, Sowon Jeon, Simon S. Woo:
Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack. CoRR abs/2103.00847 (2021) - [i13]Shahroz Tariq, Sangyup Lee, Simon S. Woo:
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. CoRR abs/2105.00187 (2021) - [i12]Sangyup Lee, Shahroz Tariq, Junyaup Kim, Simon S. Woo:
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning. CoRR abs/2105.06117 (2021) - [i11]Minha Kim, Shahroz Tariq, Simon S. Woo:
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning. CoRR abs/2105.13617 (2021) - [i10]Minha Kim, Shahroz Tariq, Simon S. Woo:
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation. CoRR abs/2107.02408 (2021) - [i9]Hasam Khalid, Shahroz Tariq, Simon S. Woo:
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset. CoRR abs/2108.05080 (2021) - [i8]Hasam Khalid, Minha Kim, Shahroz Tariq, Simon S. Woo:
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors. CoRR abs/2109.02993 (2021) - [i7]Binh Minh Le, Simon S. Woo:
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. CoRR abs/2112.03553 (2021) - [i6]Binh Minh Le, Simon S. Woo:
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images. CoRR abs/2112.08050 (2021) - [i5]Youngoh Bang, Simon S. Woo:
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images. CoRR abs/2112.12001 (2021) - 2020
- [j8]Dan Zhang, Simon S. Woo:
Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network. IEEE Access 8: 89584-89594 (2020) - [j7]Shahroz Tariq, Sangyup Lee, Huy Kang Kim, Simon S. Woo:
CAN-ADF: The controller area network attack detection framework. Comput. Secur. 94: 101857 (2020) - [j6]Eunsoo Kim, Young-Seob Cho, Bedeuro Kim, Woojoong Ji, Seok-Hyun Kim, Simon S. Woo, Hyoungshick Kim:
Can We Create a Cross-Domain Federated Identity for the Industrial Internet of Things without Google? IEEE Internet Things Mag. 3(4): 82-87 (2020) - [c38]Hyeonseong Jeon, Siho Han, Sangwon Lee, Simon S. Woo:
Compensating for the Lack of Extra Training Data by Learning Extra Representation. ACCV (6) 2020: 532-548 - [c37]Hanbin Jang, Woojoong Ji, Simon S. Woo, Hyoungshick Kim:
Design and Evaluation of Enumeration Attacks on Package Tracking Systems. ACISP 2020: 543-559 - [c36]Joon Kuy Han, Xiaojun Bi, Hyoungshick Kim, Simon S. Woo:
PassTag: A Graphical-Textual Hybrid Fallback Authentication System. AsiaCCS 2020: 60-72 - [c35]Youjin Shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo:
ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems. CIKM 2020: 2733-2740 - [c34]Daeyoung Yoon, Simon S. Woo:
Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks. CIKM 2020: 2917-2924 - [c33]Hasam Khalid, Simon S. Woo:
OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder. CVPR Workshops 2020: 2794-2803 - [c32]Jihye Woo, Ji-Won Choi, Soyoon Jeon, Joon Kuy Han, Hyoungshick Kim, Simon S. Woo:
Tale of Two Browsers: Understanding Users' Web Browser Choices in South Korea. Financial Cryptography Workshops 2020: 3-17 - [c31]Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, Simon S. Woo:
T-GD: Transferable GAN-generated Images Detection Framework. ICML 2020: 4746-4761 - [c30]Keeyoung Kim, Jinseok Hong, Sang-Hoon Rhee, Simon S. Woo:
Reconstructing the Past: Applying Deep Learning to Reconstruct Pottery from Thousands Shards. ECML/PKDD (5) 2020: 36-51 - [c29]Seoyoung Park, Siho Han, Simon S. Woo:
Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series. ECML/PKDD (4) 2020: 157-172 - [c28]Shahroz Tariq, Sangyup Lee, Simon S. Woo:
CANTransfer: transfer learning based intrusion detection on a controller area network using convolutional LSTM network. SAC 2020: 1048-1055 - [c27]Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
FDFtNet: Facing Off Fake Images Using Fake Detection Fine-Tuning Network. SEC 2020: 416-430 - [c26]Simon S. Woo:
How Do We Create a Fantabulous Password? WWW 2020: 1491-1501 - [c25]Simon S. Woo, Hanbin Jang, Woojung Ji, Hyoungshick Kim:
I've Got Your Packages: Harvesting Customers' Delivery Order Information using Package Tracking Number Enumeration Attacks. WWW 2020: 2948-2954 - [i4]Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. CoRR abs/2001.01265 (2020) - [i3]William Aiken, Hyoungshick Kim, Simon S. Woo:
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks. CoRR abs/2004.11368 (2020) - [i2]Hyeonseong Jeon, Youngoh Bang, Junyaup Kim, Simon S. Woo:
T-GD: Transferable GAN-generated Images Detection Framework. CoRR abs/2008.04115 (2020) - [i1]Shahroz Tariq, Sangyup Lee, Simon S. Woo:
A Convolutional LSTM based Residual Network for Deepfake Video Detection. CoRR abs/2009.07480 (2020)
2010 – 2019
- 2019
- [j5]Pratik Musale, Duin Baek, Nuwan Werellagama, Simon S. Woo, Bong Jun Choi:
You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems. IEEE Access 7: 37883-37895 (2019) - [j4]Simon S. Woo:
Design and evaluation of 3D CAPTCHAs. Comput. Secur. 82: 49-67 (2019) - [j3]Hoyul Choi, Jongmin Jeong, Simon S. Woo, Kyungtae Kang, Junbeom Hur:
Password typographical error resilience in honey encryption. Comput. Secur. 87 (2019) - [j2]Simon S. Woo, Ron Artstein, Elsi Kaiser, Xiao Le, Jelena Mirkovic:
Using Episodic Memory for User Authentication. ACM Trans. Priv. Secur. 22(2): 11:1-11:34 (2019) - [c24]Junyaup Kim, Siho Han, Simon S. Woo:
Classifying Genuine Face images from Disguised Face Images. IEEE BigData 2019: 6248-6250 - [c23]Yuri Son, Geumhwan Cho, Hyoungshick Kim, Simon S. Woo:
Understanding Users' Risk Perceptions about Personal Health Records Shared on Social Networking Services. AsiaCCS 2019: 352-365 - [c22]Joon Kuy Han, Hyoungshick Kim, Simon S. Woo:
Nickel to Lego: Using Foolgle</> to Create Adversarial Examples to Fool Google Cloud Speech-to-Text API. CCS 2019: 2593-2595 - [c21]Keeyoung Kim, Byeongrak Seo, Sang-Hoon Rhee, Seungmoon Lee, Simon S. Woo:
Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces. CIKM 2019: 2733-2741 - [c20]Jelena Mirkovic, Simon S. Woo:
Designing for Fallible Humans. CIC 2019: 298-305 - [c19]Hyeonseong Jeon, Youngoh Bang, Simon S. Woo:
FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced Dataset. ICCV Workshops 2019: 1285-1287 - [c18]Shahroz Tariq, Sangyup Lee, Youjin Shin, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo:
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA. KDD 2019: 2123-2133 - [c17]Dan Zhang, Simon S. Woo:
Predicting Air Quality using Moving Sensors. MobiSys 2019: 604-605 - [c16]Shahroz Tariq, Sangyup Lee, Hoyoung Kim, Youjin Shin, Simon S. Woo:
GAN is a friend or foe?: a framework to detect various fake face images. SAC 2019: 1296-1303 - [c15]Youjin Shin, Simon S. Woo:
What is in Your Password? Analyzing Memorable and Secure Passwords using a Tensor Decomposition. WWW 2019: 3230-3236 - 2018
- [c14]Shahroz Tariq, Sangyup Lee, Hoyoung Kim, Youjin Shin, Simon S. Woo:
Detecting Both Machine and Human Created Fake Face Images In the Wild. MPS@CCS 2018: 81-87 - [c13]Jusop Choi, Taekkyung Oh, William Aiken, Simon S. Woo, Hyoungshick Kim:
POSTER: I Can't Hear This Because I Am Human: A Novel Design of Audio CAPTCHA System. AsiaCCS 2018: 833-835 - [c12]Yimin Zhu, Simon S. Woo:
Adversarial Product Review Generation with Word Replacements. CCS 2018: 2324-2326 - [c11]Ameya Hanamsagar, Simon S. Woo, Chris Kanich, Jelena Mirkovic:
Leveraging Semantic Transformation to Investigate Password Habits and Their Causes. CHI 2018: 570 - [c10]Shahroz Tariq, Sangyup Lee, Huy Kang Kim, Simon S. Woo:
Detecting In-vehicle CAN Message Attacks Using Heuristics and RNNs. IOSec@RAID 2018: 39-45 - [c9]Simon S. Woo, Jelena Mirkovic:
GuidedPass: Helping Users to Create Strong and Memorable Passwords. RAID 2018: 250-270 - [c8]Keeyoung Kim, Simon S. Woo:
When George Clooney Is Not George Clooney: Using GenAttack to Deceive Amazon's and Naver's Celebrity Recognition APIs. SEC 2018: 355-369 - 2016
- [c7]Simon S. Woo, Elsi Kaiser, Ron Artstein, Jelena Mirkovic:
Life-experience passwords (LEPs). ACSAC 2016: 113-126 - [c6]Simon S. Woo, Zuyao Li, Jelena Mirkovic:
Good Automatic Authentication Question Generation. INLG 2016: 203-206 - [c5]Simon S. Woo, Jingul Kim, Duoduo Yu, Beomjun Kim:
Exploration of 3D Texture and Projection for New CAPTCHA Design. WISA 2016: 353-365 - 2014
- [j1]Simon S. Woo, Jelena Mirkovic:
Optimal application allocation on multiple public clouds. Comput. Networks 68: 138-148 (2014) - [c4]Simon S. Woo, Beomjun Kim, Woochan Jun, Jingul Kim:
3DOC: 3D object CAPTCHA. WWW (Companion Volume) 2014: 397-398 - 2011
- [c3]Simon S. Woo:
Analysis of Proximity-1 Space Link Interleaved Time Synchronization (PITS) Protocol. GLOBECOM 2011: 1-5
2000 – 2009
- 2009
- [c2]Simon S. Woo, Tudor M. Stoenescu:
Efficient File Sharing by Multicast - P2P Protocol using Network Coding and Rank Based Peer Selection. VTC Spring 2009 - 2008
- [c1]Simon S. Woo, Michael K. Cheng:
Prioritized LT codes. CISS 2008: 568-573
Coauthor Index
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