Adversarial Examples in Modern Machine Learning: A Review
Authors: Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker | Published: 2019-11-13 | Updated: 2019-11-15
Poisoning
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
Online Robustness Training for Deep Reinforcement Learning
Authors: Marc Fischer, Matthew Mirman, Steven Stalder, Martin Vechev | Published: 2019-11-03 | Updated: 2019-11-22
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization
Authors: Rana Abou Khamis, Omair Shafiq, Ashraf Matrawy | Published: 2019-10-30
Secure and Efficient Federated Transfer Learning
Authors: Shreya Sharma, Xing Chaoping, Yang Liu, Yan Kang | Published: 2019-10-29 | Updated: 2019-10-30
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training?
Authors: Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein | Published: 2019-10-25
Abnormal Client Behavior Detection in Federated Learning
Authors: Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen | Published: 2019-10-22 | Updated: 2019-12-06
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Authors: Vassilis N. Ioannidis, Georgios B. Giannakis | Published: 2019-10-21
Recovering Localized Adversarial Attacks
Authors: Jan Philip Göpfert, Heiko Wersing, Barbara Hammer | Published: 2019-10-21
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
Authors: Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar | Published: 2019-10-17 | Updated: 2019-10-21