On Adversarial Bias and the Robustness of Fair Machine Learning
Authors: Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri | Published: 2020-06-15
Attack Method
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection
Authors: Abdallah Moubayed, Emad Aqeeli, Abdallah Shami | Published: 2020-06-08
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Authors: Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi | Published: 2020-05-06 | Updated: 2022-10-28
Live Trojan Attacks on Deep Neural Networks
Authors: Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang | Published: 2020-04-22 | Updated: 2020-05-27
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
Authors: William Aiken, Hyoungshick Kim, Simon Woo | Published: 2020-04-22
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
Authors: Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex Liu, Ting Wang | Published: 2019-11-05 | Updated: 2020-11-21
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors
Authors: Jiazhu Dai, Le Shu | Published: 2019-11-04 | Updated: 2020-01-06
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks
Authors: Shai Rozenberg, Gal Elidan, Ran El-Yaniv | Published: 2019-11-03 | Updated: 2020-06-12
Reducing audio membership inference attack accuracy to chance: 4 defenses
Authors: Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios | Published: 2019-10-31
Certifiable Robustness to Graph Perturbations
Authors: Aleksandar Bojchevski, Stephan Günnemann | Published: 2019-10-31 | Updated: 2019-12-19