Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
Authors: Priyadarshini Panda, Kaushik Roy | Published: 2018-07-05 | Updated: 2019-05-31
Adversarial Learning
Adversarial Robustness Toolbox v1.0.0
Authors: Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Beat Buesser, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards | Published: 2018-07-03 | Updated: 2019-11-15
Adversarial Examples in Deep Learning: Characterization and Divergence
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu | Published: 2018-06-29 | Updated: 2018-12-30
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
Gradient Adversarial Training of Neural Networks
Authors: Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich | Published: 2018-06-21
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Authors: Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin | Published: 2018-06-19 | Updated: 2019-05-07
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus
Authors: William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas | Published: 2018-06-12
Adversarial Regression with Multiple Learners
Authors: Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik | Published: 2018-06-06
Detecting Adversarial Examples via Key-based Network
Authors: Pinlong Zhao, Zhouyu Fu, Ou wu, Qinghua Hu, Jun Wang | Published: 2018-06-02
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
Authors: Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen | Published: 2018-05-23 | Updated: 2018-06-07