Data-Oblivious ML Accelerators using Hardware Security Extensions
Authors: Hossam ElAtali, John Z. Jekel, Lachlan J. Gunn, N. Asokan | Published: 2024-01-29
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs’ Vulnerability Reasoning
Authors: Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Wei Ma, Lyuye Zhang, Yang Liu, Yingjiu Li | Published: 2024-01-29 | Updated: 2025-01-13
Federated unsupervised random forest for privacy-preserving patient stratification
Authors: Bastian Pfeifer, Christel Sirocchi, Marcus D. Bloice, Markus Kreuzthaler, Martin Urschler | Published: 2024-01-29
Blockchain-enabled Trustworthy Federated Unlearning
Authors: Yijing Lin, Zhipeng Gao, Hongyang Du, Jinke Ren, Zhiqiang Xie, Dusit Niyato | Published: 2024-01-29
Integrating Differential Privacy and Contextual Integrity
Authors: Sebastian Benthall, Rachel Cummings | Published: 2024-01-28
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
Authors: Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-27 | Updated: 2024-05-22
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Authors: Zhaoyang Qu, Yunchang Dong, Yang Li, Siqi Song, Tao Jiang, Min Li, Qiming Wang, Lei Wang, Xiaoyong Bo, Jiye Zang, Qi Xu | Published: 2024-01-27
Ransomware threat mitigation through network traffic analysis and machine learning techniques
Authors: Ali Mehrban, Shirin Karimi Geransayeh | Published: 2024-01-27 | Updated: 2024-02-04
Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Authors: Yiling Xie, Xiaoming Huo | Published: 2024-01-27
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Authors: Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng | Published: 2024-01-26