Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Authors: Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida | Published: 2023-10-20 | Updated: 2024-06-11
敵対的攻撃
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Authors: Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli | Published: 2023-10-20
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers
Authors: Illia Horenko | Published: 2023-10-19 | Updated: 2023-11-15
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