On Norm-Agnostic Robustness of Adversarial Training
Authors: Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin | Published: 2019-05-15
Poisoning
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Authors: Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein | Published: 2019-05-15 | Updated: 2019-05-16
Adversarial Defense Framework for Graph Neural Network
Authors: Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu | Published: 2019-05-09 | Updated: 2019-05-10
Cognitive Triaging of Phishing Attacks
Authors: Amber van der Heijden, Luca Allodi | Published: 2019-05-06 | Updated: 2019-05-29
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
Authors: Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal | Published: 2019-05-05
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Authors: Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud | Published: 2019-05-02 | Updated: 2020-02-18
Adversarial Training for Free!
Authors: Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein | Published: 2019-04-29 | Updated: 2019-11-20
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
Authors: David J. Miller, Zhen Xiang, George Kesidis | Published: 2019-04-12 | Updated: 2019-12-02
Online Data Poisoning Attack
Authors: Xuezhou Zhang, Xiaojin Zhu, Laurent Lessard | Published: 2019-03-05 | Updated: 2019-05-30
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Authors: Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho | Published: 2019-03-02