Publications

221 results for Adversarial Robustness and Privacy

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
- - Lei Hsiung
  - Yun-Yun Tsai
  - et al.
- 2023
- CVPR 2023
Trustworthy AI in the Era of Foundation Models
- - Pin-Yu Chen
  - Chaowei Xiao
- 2023
- CVPR 2023
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise
- - Jhih-Cing Huang
  - Yu-Lin Tsai
  - et al.
- 2023
- ICASSP 2023
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
- - Neel Bhandari
  - Pin-Yu Chen
- 2023
- ICASSP 2023
Visual Prompting for Adversarial Robustness
- - Aochuan Chen
  - Peter Lorenz
  - et al.
- 2023
- ICASSP 2023
SparSFA: Towards robust and communication-efficient peer-to-peer federated learning
- - Han Wang
  - Luis Muñoz-González
  - et al.
- 2023
- Computers & Security
Study of Distractors in Neural Models of Code
- - Md Rafiqul Islam Rabin
  - Aftab Hussain
  - et al.
- 2023
- ICSE 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
- - Dennis Wei
  - Haoze Wu
  - et al.
- 2023
- AISTATS 2023
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks
- - Washington Garcia
  - Pin-Yu Chen
  - et al.
- 2023
- IEEE SaTML 2023
AI Fairness through Robustness
- - Mikhail Yurochkin
  - Yuekai Sun
  - et al.
- 2023
- AAAI 2023