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2020 – today
- 2024
[j2]Hanqing Liu
, Jinhao Duan, Zhufeng Shao, Stéphane Caro:
Torque Resistance Analysis and Dynamic Trajectory Planning for 3-DOF Cable Suspended Parallel Robot With Parallelogram Cable Loops. IEEE Robotics Autom. Lett. 9(7): 6296-6303 (2024)- [c15]Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. ACL (1) 2024: 5050-5063 - [c14]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR 2024: 8890-8899 - [c13]Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024: 24398-24407 - [c12]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. ECCV (59) 2024: 179-196 - [c11]Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. EMNLP (Findings) 2024: 6886-6898 - [c10]Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu:
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR 2024 - [c9]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 2024 - [c8]Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu:
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT 2024: 2232-2246 - [i17]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR abs/2402.12348 (2024) - [i16]Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi:
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR abs/2402.14259 (2024) - [i15]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR abs/2402.19150 (2024) - [i14]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR abs/2403.15447 (2024) - [i13]Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR abs/2407.00499 (2024) - 2023
- [c7]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. BMVC 2023: 271 - [c6]Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC 2023: 296 - [c5]Jinhao Duan, Zhufeng Shao, Hanqing Liu, Zhaokun Zhang, Yujia Wang, Haili Zhao:
Design Analysis of a Cable-Driven Parallel Robot with Parallel Cables for Ship Side Painting. CACRE 2023: 209-215 - [c4]Hanqing Liu, Jinhao Duan, Zhufeng Shao, Zhaokun Zhang, Jing Rao:
Reachability Analysis of a Rigid-Flexible Cable Robot for Interior Coating of Tanker Ships. CACRE 2023: 231-235 - [c3]Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu:
Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023: 8717-8730 - [c2]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. IJCAI 2023: 708-716 - [i12]Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu:
Are Diffusion Models Vulnerable to Membership Inference Attacks? CoRR abs/2302.01316 (2023) - [i11]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. CoRR abs/2304.14601 (2023) - [i10]Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR abs/2305.18355 (2023) - [i9]Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR abs/2306.01902 (2023) - [i8]Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen:
Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. CoRR abs/2306.02064 (2023) - [i7]Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. CoRR abs/2307.01379 (2023) - [i6]Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu:
Exposing the Fake: Effective Diffusion-Generated Images Detection. CoRR abs/2307.06272 (2023) - [i5]Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu:
Semantic Adversarial Attacks via Diffusion Models. CoRR abs/2309.07398 (2023) - [i4]Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR abs/2309.13245 (2023) - [i3]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT: Adversarial Consistency Models. CoRR abs/2311.14097 (2023) - [i2]Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CoRR abs/2312.00084 (2023) - [i1]Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Eric Sun, Yue Zhang:
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly. CoRR abs/2312.02003 (2023) - 2021
- [c1]Ye Huo, Jinhao Duan, Zhufeng Shao, Hanqing Liu, Chunjiao Liu:
Design and Optimization of the New Cable-Driven Ankle Rehabilitation Equipment. ICIRA (1) 2021: 597-607 - 2020
- [j1]Jinhao Duan, Hua Xu, Xiaozhu Lin, Shangchao Zhu, Yuanze Du:
Multi-semantic long-range dependencies capturing for efficient video representation learning. Image Vis. Comput. 104: 103988 (2020)
Coauthor Index
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