Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Authors: Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay | Published: 2024-02-19
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Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics
Authors: Wenwei Zhao, Xiaowen Li, Shangqing Zhao, Jie Xu, Yao Liu, Zhuo Lu | Published: 2024-02-14
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
Authors: Tan Sun, Junhong Lin | Published: 2024-02-06 | Updated: 2024-07-06
A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)
Authors: Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth | Published: 2024-01-24 | Updated: 2024-09-11
Defenses in Adversarial Machine Learning: A Survey
Authors: Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu | Published: 2023-12-13
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Authors: Vasisht Duddu, Sebastian Szyller, N. Asokan | Published: 2023-12-07 | Updated: 2024-04-04
Poisoning Retrieval Corpora by Injecting Adversarial Passages
Authors: Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen | Published: 2023-10-29
Instability of computer vision models is a necessary result of the task itself
Authors: Oliver Turnbull, George Cevora | Published: 2023-10-26
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Authors: Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He | Published: 2023-10-19
The Efficacy of Transformer-based Adversarial Attacks in Security Domains
Authors: Kunyang Li, Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel | Published: 2023-10-17