Classifier-independent Lower-Bounds for Adversarial Robustness
Authors: Elvis Dohmatob | Published: 2020-06-17 | Updated: 2020-11-10
攻撃手法
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Authors: Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2020-06-16
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
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