Adversarial Data Encryption
Authors: Yingdong Hu, Liang Zhang, Wei Shan, Xiaoxiao Qin, Jing Qi, Zhenzhou Wu, Yang Yuan | Published: 2020-02-10 | Updated: 2020-02-11
Poisoning
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Authors: Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter | Published: 2020-02-07 | Updated: 2020-08-11
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07
Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
Authors: Moshe Kravchik, Asaf Shabtai | Published: 2020-02-07
Learning to Detect Malicious Clients for Robust Federated Learning
Authors: Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen | Published: 2020-02-01
Adversarial Attack on Community Detection by Hiding Individuals
Authors: Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang | Published: 2020-01-22
Advbox: a toolbox to generate adversarial examples that fool neural networks
Authors: Dou Goodman, Hao Xin, Wang Yang, Wu Yuesheng, Xiong Junfeng, Zhang Huan | Published: 2020-01-13 | Updated: 2020-08-26
On the Resilience of Biometric Authentication Systems against Random Inputs
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Mohamed Ali Kaafar | Published: 2020-01-13 | Updated: 2020-01-24
Benchmarking Adversarial Robustness
Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu | Published: 2019-12-26
secml: A Python Library for Secure and Explainable Machine Learning
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13