Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Authors: Dorjan Hitaj, Luigi V. Mancini | Published: 2018-09-03
Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Authors: Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang | Published: 2018-09-03 | Updated: 2019-07-22
Machine Learning Methods for Network Intrusion Detection
Authors: Mouhammad Alkasassbeh, Mohammad Almseidin | Published: 2018-09-01
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Authors: Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong, Wei Yang, Tao Xie, Bo Li | Published: 2018-08-31 | Updated: 2019-07-27
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Authors: Cong Liao, Haoti Zhong, Anna Squicciarini, Sencun Zhu, David Miller | Published: 2018-08-30
VirtualIdentity: Privacy-Preserving User Profiling
Authors: Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock | Published: 2018-08-30
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
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