Encryption Inspired Adversarial Defense for Visual Classification
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-05-16
Defense Effectiveness Analysis
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Authors: Yaxin Li, Wei Jin, Han Xu, Jiliang Tang | Published: 2020-05-13
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
Authors: Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, Giovanni Vigna | Published: 2020-05-01 | Updated: 2021-03-14
Minority Reports Defense: Defending Against Adversarial Patches
Authors: Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner | Published: 2020-04-28
A cryptographic approach to black box adversarial machine learning
Authors: Kevin Shi, Daniel Hsu, Allison Bishop | Published: 2019-06-07 | Updated: 2020-02-21
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach
Authors: Rajeev Sahay, Rehana Mahfuz, Aly El Gamal | Published: 2018-12-07
Adversarial Attacks, Regression, and Numerical Stability Regularization
Authors: Andre T. Nguyen, Edward Raff | Published: 2018-12-07
Enhancing Robustness of Machine Learning Systems via Data Transformations
Authors: Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal | Published: 2017-04-09 | Updated: 2017-11-29