Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Authors: Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou | Published: 2021-06-18 | Updated: 2022-07-07
Poisoning
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Authors: Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein | Published: 2021-06-16 | Updated: 2022-10-13
Gradient-based Data Subversion Attack Against Binary Classifiers
Authors: Rosni K Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha | Published: 2021-05-31
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks
Authors: Ramy Maarouf, Danish Sattar, Ashraf Matrawy | Published: 2021-05-30
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
Authors: Glenn Dawson, Robi Polikar | Published: 2021-05-28 | Updated: 2021-06-05
Fooling Partial Dependence via Data Poisoning
Authors: Hubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek | Published: 2021-05-26 | Updated: 2022-07-10
Regularization Can Help Mitigate Poisoning Attacks… with the Right Hyperparameters
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2021-05-23
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance
Authors: Jack W. Stokes, Paul England, Kevin Kane | Published: 2021-05-20
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Authors: Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang | Published: 2021-05-13
Mental Models of Adversarial Machine Learning
Authors: Lukas Bieringer, Kathrin Grosse, Michael Backes, Battista Biggio, Katharina Krombholz | Published: 2021-05-08 | Updated: 2022-06-29