Visual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2022
- NeurIPS 2022
Publications
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212 results for Adversarial Robustness and Privacy
On the Adversarial Robustness of Vision Transformers
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- NeurIPS 2022
Certified Interpretability Robustness for Class Activation Mapping
- Alex Gu
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Reprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- Shuli Jiang
- Swanand Ravindra Kadhe
- et al.
- 2023
- NeurIPS 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model
- Nhan Pham
- Lam Nguyen
- et al.
- 2022
- NeurIPS 2022