A Review of Adversarial Attacks in Computer Vision
Authors: Yutong Zhang, Yao Li, Yin Li, Zhichang Guo | Published: 2023-08-15
敵対的攻撃手法
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Authors: Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni | Published: 2023-08-08
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Authors: Shashank Kotyan | Published: 2023-08-07
Label Inference Attacks against Node-level Vertical Federated GNNs
Authors: Marco Arazzi, Mauro Conti, Stefanos Koffas, Marina Krcek, Antonino Nocera, Stjepan Picek, Jing Xu | Published: 2023-08-04 | Updated: 2024-04-18
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Authors: Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu | Published: 2023-07-20
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