Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Authors: Hangsheng Zhang, Dongqi Han, Yinlong Liu, Zhiliang Wang, Jiyan Sun, Shangyuan Zhuang, Jiqiang Liu, Jinsong Dong | Published: 2024-01-19
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A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
Authors: Shashwat Khandelwal, Shreejith Shanker | Published: 2024-01-19
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN
Authors: Shashwat Khandelwal, Eashan Wadhwa, Shreejith Shanker | Published: 2024-01-19
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
Authors: Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-19
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
Authors: Chen Wu, Xi Li, Jiaqi Wang | Published: 2024-01-18 | Updated: 2024-04-02
Excuse me, sir? Your language model is leaking (information)
Authors: Or Zamir | Published: 2024-01-18
Self-Rewarding Language Models
Authors: Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston | Published: 2024-01-18 | Updated: 2024-02-08
Lateral Phishing With Large Language Models: A Large Organization Comparative Study
Authors: Mazal Bethany, Athanasios Galiopoulos, Emet Bethany, Mohammad Bahrami Karkevandi, Nicole Beebe, Nishant Vishwamitra, Peyman Najafirad | Published: 2024-01-18 | Updated: 2025-04-15
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
Authors: Prajwal Panzade, Daniel Takabi, Zhipeng Cai | Published: 2024-01-17
Zero Trust Implementation in the Emerging Technologies Era: Survey
Authors: Abraham Itzhak Weinberg, Kelly Cohen | Published: 2024-01-17