Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Authors: Liwei Song, Reza Shokri, Prateek Mittal | Published: 2019-05-24 | Updated: 2019-08-25
バックドア攻撃
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
A Robust Approach for Securing Audio Classification Against Adversarial Attacks
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-04-24 | Updated: 2019-11-25
Gotta Catch ‘Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Authors: Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao | Published: 2019-04-18 | Updated: 2020-09-28
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
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Authors: Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni | Published: 2019-02-27
Design of intentional backdoors in sequential models
Authors: Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani | Published: 2019-02-26
Adversarial attacks hidden in plain sight
Authors: Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer | Published: 2019-02-25 | Updated: 2020-04-26
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Authors: Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani | Published: 2019-02-25 | Updated: 2020-08-17
Robust Audio Adversarial Example for a Physical Attack
Authors: Hiromu Yakura, Jun Sakuma | Published: 2018-10-28 | Updated: 2019-08-19