A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
Authors: Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang | Published: 2023-12-06
敵対的攻撃
Rethinking PGD Attack: Is Sign Function Necessary?
Authors: Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang | Published: 2023-12-03 | Updated: 2024-05-21
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems
Authors: Bilel Tarchoun, Quazi Mishkatul Alam, Nael Abu-Ghazaleh, Ihsen Alouani | Published: 2023-11-30
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Authors: Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina Pasareanu | Published: 2023-11-22
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction
Authors: Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique | Published: 2023-11-20
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
Authors: Matthew Pisano, Peter Ly, Abraham Sanders, Bingsheng Yao, Dakuo Wang, Tomek Strzalkowski, Mei Si | Published: 2023-11-16 | Updated: 2024-08-18
PubDef: Defending Against Transfer Attacks From Public Models
Authors: Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner | Published: 2023-10-26 | Updated: 2024-03-17
Competitive Advantage Attacks to Decentralized Federated Learning
Authors: Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong | Published: 2023-10-20
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
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