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- Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
Jianhe Yuan and Zhihai He
- Defending Against Universal Attacks Through Selective Feature Regeneration
Tejas Borkar, Felix Heide, Lina Karam
- Defending and Harnessing the Bit-Flip based Adversarial Weight Attack
Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti and Deliang Fan
- Defending Against Model Stealing Attacks with Adaptive Misinformation
Sanjay Kariyappa, Moinuddin K Qureshi
- Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
Jeet Mohapatra, Tsui-Wei Weng. Pin-Yu Chen2, Sijia Liu2 and Luca Daniel
- GeoDA: a geometric framework for black-box adversarial attacks
Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, and Huaiyu Dai
- One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
Chang Xiao Changxi Zheng
- A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan , Fatih Porikli