LAFEAT: Piercing Through Adversarial Defenses with Latent Features

19 April 2021

Papers citing "LAFEAT: Piercing Through Adversarial Defenses with Latent Features"

21 / 21 papers shown

Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 59 0 0 24 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective Xinjian Luo Yangfan Jiang Fei Wei Yuncheng Wu Xiaokui Xiao Beng Chin Ooi DiffM 43 4 0 28 Feb 2024
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li S. Feizi Himabindu Lakkaraju AAML 27 164 0 06 Sep 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 18 3 0 05 Jul 2023
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks Tianrui Qin Xitong Gao Juanjuan Zhao Kejiang Ye Chengzhong Xu AAML MU 37 27 0 27 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni E. Hossain H. Vincent Poor AAML 26 18 0 11 Mar 2023
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 29 5 0 15 Dec 2022
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack Yunrui Yu Xitong Gao Chengzhong Xu AAML 28 8 0 15 Nov 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 16 0 0 11 Jul 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 35 57 0 10 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 24 18 0 02 Mar 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 24 1 0 07 Feb 2022
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen L. Yao Xianzhi Wang Quan.Z Sheng AAML 15 3 0 02 Dec 2021
Adversarial Attacks on ML Defense Models Competition Yinpeng Dong Qi-An Fu Xiao Yang Wenzhao Xiang Tianyu Pang ... Zhennan Wu Yang Guo Jiequan Cui Xiaogang Xu Pengguang Chen AAML 13 2 0 15 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 26 14 0 07 Jun 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016