Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Authors: Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu | Published: 2023-07-20
敵対的攻撃手法
Jailbroken: How Does LLM Safety Training Fail?
Authors: Alexander Wei, Nika Haghtalab, Jacob Steinhardt | Published: 2023-07-05
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Authors: Marco Alecci, Mauro Conti, Francesco Marchiori, Luca Martinelli, Luca Pajola | Published: 2023-06-27
Are aligned neural networks adversarially aligned?
Authors: Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramer, Ludwig Schmidt | Published: 2023-06-26 | Updated: 2024-05-06
On the Resilience of Machine Learning-Based IDS for Automotive Networks
Authors: Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi, Rolf Blom, Shahid Raza | Published: 2023-06-26
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Authors: Mathias Lundteigen Mohus, Jinyue Li | Published: 2023-06-01
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Authors: Andi Zhang, Mingtian Zhang, Damon Wischik | Published: 2023-06-01 | Updated: 2024-11-24
Verifiable Learning for Robust Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Giulio Ermanno Pibiri, Nicola Prezza | Published: 2023-05-05 | Updated: 2023-11-11
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Authors: Giovanni Apruzzese, Pavel Laskov, Johannes Schneider | Published: 2023-04-30
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Authors: Maxwell Standen, Junae Kim, Claudia Szabo | Published: 2023-01-11