On the Feasibility of Compressing Certifiably Robust Neural Networks
- Pratik Vaishnavi
- Veena Krish
- et al.
- 2022
- NeurIPS 2022
Workshop
Publications
229 results for Adversarial Robustness and Privacy
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022
Workshop paperCertifiably robust interpretation via Rényi differential privacy
- Ao Liu
- Xiaoyu Chen
- et al.
- 2022
- Artificial Intelligence
PaperAccelerating Certified Robustness Training via Knowledge Transfer
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- NeurIPS 2022
Conference paperOn the Adversarial Robustness of Vision Transformers
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- NeurIPS 2022
Workshop paperBoundary Adversarial Examples Against Adversarial Overfitting
- Muhammad Zaid Hameed
- Beat Buesser
- 2022
- NeurIPS 2022
Workshop paperVisual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2022
- NeurIPS 2022
Workshop paperTransferring Adversarial Robustness Through Robust Representation Matching
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- USENIX Security 2022
Conference paperDistributed Adversarial Training to Robustify Deep Neural Networks at Scale
- Gaoyuan Zhang
- Songtao Lu
- et al.
- 2022
- UAI 2022
Conference paperLearning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- Pu Zhao
- Parikshit Ram
- et al.
- 2022
- IJCAI 2022
Conference paper