Universal Successor Representations for Transfer Reinforcement Learning
Authors: Chen Ma, Junfeng Wen, Yoshua Bengio | Published: 2018-04-11
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Authors: Anish Athalye, Nicholas Carlini | Published: 2018-04-10
Adversarial Training Versus Weight Decay
Authors: Angus Galloway, Thomas Tanay, Graham W. Taylor | Published: 2018-04-10 | Updated: 2018-07-23
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
Authors: Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin | Published: 2018-04-09
The Challenges in SDN/ML Based Network Security : A Survey
Authors: Tam N. Nguyen | Published: 2018-04-08 | Updated: 2018-04-14
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Authors: Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song | Published: 2018-04-07
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Authors: Alex Lamb, Jonathan Binas, Anirudh Goyal, Dmitriy Serdyuk, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio | Published: 2018-04-07
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Authors: Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein | Published: 2018-04-03 | Updated: 2018-11-10
Resilient Non-Submodular Maximization over Matroid Constraints
Authors: Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas | Published: 2018-04-02 | Updated: 2018-12-06
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Authors: Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li | Published: 2018-04-01 | Updated: 2021-09-28