An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
Authors: Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian | Published: 2019-10-01
バックドア攻撃
Hidden Trigger Backdoor Attacks
Authors: Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash | Published: 2019-09-30 | Updated: 2019-12-21
Deep k-NN Defense against Clean-label Data Poisoning Attacks
Authors: Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson | Published: 2019-09-29 | Updated: 2020-08-13
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Authors: Zhen Xiang, David J. Miller, George Kesidis | Published: 2019-08-27 | Updated: 2020-08-19
Model Agnostic Defence against Backdoor Attacks in Machine Learning
Authors: Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay | Published: 2019-08-06 | Updated: 2022-03-31
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
Authors: Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski | Published: 2019-07-17 | Updated: 2019-10-03
Poisoning Attacks with Generative Adversarial Nets
Authors: Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu | Published: 2019-06-18 | Updated: 2019-09-25
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Authors: Masoumeh Shafieinejad, Jiaqi Wang, Nils Lukas, Xinda Li, Florian Kerschbaum | Published: 2019-06-18 | Updated: 2019-11-26
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Authors: Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha | Published: 2019-05-29
An Investigation of Data Poisoning Defenses for Online Learning
Authors: Yizhen Wang, Somesh Jha, Kamalika Chaudhuri | Published: 2019-05-28 | Updated: 2020-02-19