Deep Detector Health Management under Adversarial Campaigns
Authors: Javier Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew Gardner | Published: 2019-11-19
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach
Authors: Iman Niazazari, Hanif Livani | Published: 2019-11-19 | Updated: 2019-11-25
WITCHcraft: Efficient PGD attacks with random step size
Authors: Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi | Published: 2019-11-18
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
Can You Really Backdoor Federated Learning?
Authors: Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan | Published: 2019-11-18 | Updated: 2019-12-02
Privacy Leakage Avoidance with Switching Ensembles
Authors: Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu | Published: 2019-11-18
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
Machine Learning in Network Security Using KNIME Analytics
Authors: Munther Abualkibash | Published: 2019-11-18
Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning
Authors: Ramtine Tofighi-Shirazi, Irina Mariuca Asavoae, Philippe Elbaz-Vincent | Published: 2019-11-18
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
Authors: Tharindu Fernando, Clinton Fookes, Simon Denman, Sridha Sridharan | Published: 2019-11-17