LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
Authors: David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan | Published: 2023-07-20
攻撃手法
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats
Authors: Gaolei Li, Yuanyuan Zhao, Wenqi Wei, Yuchen Liu | Published: 2023-06-13 | Updated: 2023-06-14
Zero-Day Threats Detection for Critical Infrastructures
Authors: Mike Nkongolo, Mahmut Tokmak | Published: 2023-06-10
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
Authors: Ezgi Korkmaz, Jonah Brown-Cohen | Published: 2023-06-09
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Authors: Hubert Baniecki, Przemyslaw Biecek | Published: 2023-06-06 | Updated: 2024-02-13
Evaluating Privacy Leakage in Split Learning
Authors: Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock | Published: 2023-05-22 | Updated: 2024-01-19
Network Cascade Vulnerability using Constrained Bayesian Optimization
Authors: Albert Lam, Mihai Anitescu, Anirudh Subramanyam | Published: 2023-04-27 | Updated: 2023-10-05
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
Authors: Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang | Published: 2023-04-04
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Authors: Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim | Published: 2023-01-06 | Updated: 2024-01-24
Multi-Player Bandits Robust to Adversarial Collisions
Authors: Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh | Published: 2022-11-15