Publications

219 results for Adversarial Robustness and Privacy

The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- - Sijia Liu
  - Pin-Yu Chen
  - et al.
- 2023
- ICML 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
- - Sihui Dai
  - Saeed Mahloujifar
  - et al.
- 2023
- ICML 2023
Identification of the Adversary from a Single Adversarial Example
- - Minhao Cheng
  - Rui Min
  - et al.
- 2023
- ICML 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- - Zishen Wan
  - Nandhini Chandramoorthy
  - et al.
- 2023
- DAC 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
- - Yahan Yang
  - Soham Dan
  - et al.
- 2023
- ACL 2023
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- - Ioana Baldini Soares
  - Chhavi Yadav
  - et al.
- 2023
- ACL 2023
Holistic Adversarial Robustness of Deep Learning Models
- - Pin-Yu Chen
  - Sijia Liu
- 2023
- AAAI 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
- - Lei Hsiung
  - Yun-Yun Tsai
  - et al.
- 2023
- CVPR 2023
How to Backdoor Diffusion Models?
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- CVPR 2023
Trustworthy AI in the Era of Foundation Models
- - Pin-Yu Chen
  - Chaowei Xiao
- 2023
- CVPR 2023