On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers
Authors: Illia Horenko | Published: 2023-10-19 | Updated: 2023-11-15
敵対的攻撃
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Authors: Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen | Published: 2023-10-10
Outlier Robust Adversarial Training
Authors: Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu | Published: 2023-09-10
DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
Authors: Jeremiah Birrell, Mohammadreza Ebrahimi | Published: 2023-09-07
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Authors: Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang | Published: 2023-09-02
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
Authors: Maria Rigaki, Sebastian Garcia | Published: 2023-08-31
A Comparison of Adversarial Learning Techniques for Malware Detection
Authors: Pavla Louthánová, Matouš Kozák, Martin Jureček, Mark Stamp | Published: 2023-08-19
URET: Universal Robustness Evaluation Toolkit (for Evasion)
Authors: Kevin Eykholt, Taesung Lee, Douglas Schales, Jiyong Jang, Ian Molloy, Masha Zorin | Published: 2023-08-03
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Authors: Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu | Published: 2023-08-02 | Updated: 2023-08-03