Label-Consistent Backdoor Attacks
Authors: Alexander Turner, Dimitris Tsipras, Aleksander Madry | Published: 2019-12-05 | Updated: 2019-12-06
バックドア攻撃
Deep Probabilistic Models to Detect Data Poisoning Attacks
Authors: Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo | Published: 2019-12-03
Failure Modes in Machine Learning Systems
Authors: Ram Shankar Siva Kumar, David O Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover | Published: 2019-11-25
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Authors: Zhen Xiang, David J. Miller, Hang Wang, George Kesidis | Published: 2019-11-18 | Updated: 2020-04-06
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Authors: Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet | Published: 2019-11-18
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Authors: Min Du, Ruoxi Jia, Dawn Song | Published: 2019-11-16
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Authors: Maede Zolanvari, Marcio A. Teixeira, Lav Gupta, Khaled M. Khan, Raj Jain | Published: 2019-11-13
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Authors: Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu | Published: 2019-10-14 | Updated: 2019-10-27
Defending Neural Backdoors via Generative Distribution Modeling
Authors: Ximing Qiao, Yukun Yang, Hai Li | Published: 2019-10-10 | Updated: 2019-11-06
Detecting AI Trojans Using Meta Neural Analysis
Authors: Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li | Published: 2019-10-08 | Updated: 2020-10-01