Lipschitz regularized Deep Neural Networks generalize and are adversarially robust
Authors: Chris Finlay, Jeff Calder, Bilal Abbasi, Adam Oberman | Published: 2018-08-28 | Updated: 2019-09-12
Literature Database
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
Authors: George A. Adam, Petr Smirnov, David Duvenaud, Benjamin Haibe-Kains, Anna Goldenberg | Published: 2018-08-20 | Updated: 2018-09-08
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
Authors: Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague | Published: 2018-08-17
Mitigation of Adversarial Attacks through Embedded Feature Selection
Authors: Ziyi Bao, Luis Muñoz-González, Emil C. Lupu | Published: 2018-08-16
Distributionally Adversarial Attack
Authors: Tianhang Zheng, Changyou Chen, Kui Ren | Published: 2018-08-16 | Updated: 2018-12-06
Anomaly Detection in Cyber Network Data Using a Cyber Language Approach
Authors: Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis, Keegan Hines, David Pekarek | Published: 2018-08-15
Mitigating Sybils in Federated Learning Poisoning
Authors: Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh | Published: 2018-08-14 | Updated: 2020-07-15
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Authors: Mengjia Yan, Christopher Fletcher, Josep Torrellas | Published: 2018-08-14
Mitigating Location Privacy Attacks on Mobile Devices using Dynamic App Sandboxing
Authors: Sashank Narain, Guevara Noubir | Published: 2018-08-13
Using Randomness to Improve Robustness of Machine-Learning Models Against Evasion Attacks
Authors: Fan Yang, Zhiyuan Chen | Published: 2018-08-10