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- research-articleAugust 2024
FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering
ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 ConferenceAugust 2024, Pages 117–135https://doi.org/10.1145/3651890.3672258Traffic Engineering (TE) is critical for improving network performance and reliability. A key challenge in TE is the management of sudden traffic bursts. Existing TE schemes either do not handle traffic bursts or uniformly guard against traffic bursts, ...
- research-articleJuly 2024
Paired 2-disjoint path covers of k-ary n-cubes under the partitioned edge fault model
Journal of Parallel and Distributed Computing (JPDC), Volume 190, Issue CAug 2024https://doi.org/10.1016/j.jpdc.2024.104887AbstractThe k-ary n-cube Q n k serves as an indispensable interconnection network in the design of data center networks, network-on-chips, and parallel computing systems since it possesses numerous attractive properties. In these parallel architectures, ...
Highlights- This research studies the existence of paired 2-disjoint path cover in k-ary n-cubes in the presence of large-scale faulty edges.
- Our findings generalize the result in [50] from the theoretical perspective.
- Our results provide the ...
- surveyJuly 2024JUST ACCEPTED
SoK: Fully Homomorphic Encryption Accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to the underlying polynomial computations with high computation complexity and ...
- research-articleJuly 2024
Lossless image steganography: Regard steganography as super-resolution
Information Processing and Management: an International Journal (IPRM), Volume 61, Issue 4Jul 2024https://doi.org/10.1016/j.ipm.2024.103719AbstractImage steganography attempts to imperceptibly hide the secret image within the cover image. Most of the existing deep learning-based steganography approaches have excelled in payload capacity, visual quality, and steganographic security. However, ...
Highlights- A novel INN-based framework is proposed for secure and lossless image steganography.
- It solves the problem of lost information in traditional INN-based image steganography methods.
- A secret projection module is designed to enhance ...
- research-articleJuly 2024
Generating Transferable Adversarial Examples From the Perspective of Ensemble and Distribution
CSAIDE '24: Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital EconomyMarch 2024, Pages 173–177https://doi.org/10.1145/3672919.3672953In recent years, extensive research has been conducted on the attack and defense of adversarial examples within the domain of deep learning. In particular, the transferability of adversarial examples in black-box attack scenarios has garnered significant ...
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- research-articleJanuary 2024
When Evolutionary Computation Meets Privacy
IEEE Computational Intelligence Magazine (COMPINT), Volume 19, Issue 1Feb. 2024, Pages 66–74https://doi.org/10.1109/MCI.2023.3327892Recently, evolutionary computation (EC) has experienced significant advancements due to the integration of machine learning, distributed computing, and big data technologies. These developments have led to new research avenues in EC, such as distributed ...
- research-articleJanuary 2024
Beyond Result Verification: Efficient Privacy-Preserving Spatial Keyword Query With Suppressed Leakage
IEEE Transactions on Information Forensics and Security (TIFS), Volume 192024, Pages 2746–2760https://doi.org/10.1109/TIFS.2024.3354414Boolean range query (BRQ) is a typical type of spatial keyword query that is widely used in geographic information systems, location-based services and other applications. It retrieves the objects inside the query range and containing all query keywords. ...
- research-articleDecember 2023
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 15, Issue 1Article No.: 5, Pages 1–25https://doi.org/10.1145/3630636Federated learning (FL) allows multiple participants to collaboratively build deep learning (DL) models without directly sharing data. Consequently, the issue of copyright protection in FL becomes important since unreliable participants may gain access to ...
- ArticleFebruary 2024
Clustered Federated Learning with Inference Hash Codes Based Local Sensitive Hashing
AbstractFederated Learning (FL) is a distributed paradigm enabling clients to train a global model collaboratively while protecting client privacy. During the FL training process, the statistical heterogeneity between different clients can compromise the ...
- ArticleFebruary 2024
- research-articleMarch 2024
A fine-grained detection method for gate-level hardware Trojan based on bidirectional Graph Neural Networks
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 10Dec 2023https://doi.org/10.1016/j.jksuci.2023.101822AbstractDue to technical barriers and economic costs, malicious circuits, known as hardware Trojans, are easily implanted in the complicated integrated circuit design and manufacturing process, which can lead to many disastrous consequences, such as ...
- research-articleJanuary 2024
Several classes of permutation pentanomials with the form x r h ( x p m − 1 ) over F p 2 m
Finite Fields and Their Applications (FFATA), Volume 92, Issue CDec 2023https://doi.org/10.1016/j.ffa.2023.102307AbstractIn this paper, we study the permutation property of pentanomials with the form x r h ( x p m − 1 ) over F p 2 m, where p ∈ { 2 , 3 }. More precisely, based on some seventh-degree and eighth-degree irreducible pentanomials over F 2, we present ...
- research-articleNovember 2023
Blockchain-Based Dynamic Time-Encapsulated Data Auditing for Outsourcing Storage
IEEE Transactions on Information Forensics and Security (TIFS), Volume 192024, Pages 1979–1993https://doi.org/10.1109/TIFS.2023.3338485Outsourcing storage has emerged as an effective solution to manage the increasing volume of data. With the popularity of pay-as-you-go payment models in outsourcing storage, data auditing schemes that prioritize timeliness can be valuable evidence for ...
- surveyNovember 2023
A Survey on Searchable Symmetric Encryption
ACM Computing Surveys (CSUR), Volume 56, Issue 5Article No.: 119, Pages 1–42https://doi.org/10.1145/3617991Outsourcing data to the cloud has become prevalent, so Searchable Symmetric Encryption (SSE), one of the methods for protecting outsourced data, has arisen widespread interest. Moreover, many novel technologies and theories have emerged, especially for ...
- ArticleNovember 2023
Graph Unlearning Using Knowledge Distillation
Information and Communications SecurityNov 2023, Pages 485–501https://doi.org/10.1007/978-981-99-7356-9_29AbstractWith the popularity of graph-structured data and the promulgation of various data privacy protection laws, machine unlearning in Graph Convolutional Network (GCN) has attracted more and more attention. However, machine unlearning in GCN scenarios ...
- research-articleNovember 2023
Generation matrix: An embeddable matrix representation for hierarchical trees
Theoretical Computer Science (TCSC), Volume 979, Issue CNov 2023https://doi.org/10.1016/j.tcs.2023.114180AbstractStarting from the local structures to study hierarchical trees is a common research method. However, the cumbersome analysis and description make the naive method challenging to adapt to the increasingly complex hierarchical tree problems. To ...
- research-articleOctober 2023
Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data
IEEE Transactions on Information Forensics and Security (TIFS), Volume 192024, Pages 693–707https://doi.org/10.1109/TIFS.2023.3326983Federated learning (FL) allows multiple clients to train deep learning models collaboratively while protecting sensitive local datasets. However, FL has been highly susceptible to security for federated backdoor attacks (FBA) through injecting triggers ...
- ArticleDecember 2023
Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes
Pattern Recognition and Computer VisionOct 2023, Pages 301–312https://doi.org/10.1007/978-981-99-8552-4_24AbstractIn the absence of well-exposed contents in images, high dynamic range image (HDRI) provides an attractive option that fuses stacked low dynamic range (LDR) images into an HDR image. Existing HDRI methods utilized convolutional neural networks (...
- research-articleOctober 2023
Owner-free Distributed Symmetric Searchable Encryption Supporting Conjunctive Queries
ACM Transactions on Storage (TOS), Volume 19, Issue 4Article No.: 38, Pages 1–25https://doi.org/10.1145/3607255Symmetric Searchable Encryption (SSE), as an ideal primitive, can ensure data privacy while supporting retrieval over encrypted data. However, existing multi-user SSE schemes require the data owner to share the secret key with all query users or always be ...
- research-articleSeptember 2023
Smaug: A TEE-Assisted Secured SQLite for Embedded Systems
IEEE Transactions on Dependable and Secure Computing (TDSC), Volume 20, Issue 5Sept.-Oct. 2023, Pages 3617–3635https://doi.org/10.1109/TDSC.2022.3216020As one of the most popular relational databases for embedded devices, SQLite is lightweight to be embedded into applications without installing a specific database management system. However, simplicity and easy-to-use are double-edged swords; while ...