Publications

219 results for Adversarial Robustness and Privacy

Evaluating the Adversarial Robustness for Fourier Neural Operators
- - Abolaji Adesoji
  - Pin-Yu Chen
- 2022
- ICLR 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
- - Yuguang Yao
  - Yifan Gong
  - et al.
- 2022
- ICLR 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- - Yimeng Zhang
  - Yuguang Yao
  - et al.
- 2022
- ICLR 2022
Robust Randomized Smoothing via Two Cost-Effective Approaches
- - Linbo Liu
  - Trong Nghia Hoang
  - et al.
- 2022
- ICLR 2022
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
- - Neel Bhandari
  - Pin-Yu Chen
- 2022
- ICLR 2022
Meta Adversarial Perturbations
- - Chia-Hung Yuan
  - Pin-Yu Chen
  - et al.
- 2022
- AAAI 2022
Adversarial Machine Learning for Good
- - Pin-Yu Chen
- 2022
- AAAI 2022
Machine Learning Security and Privacy
- - Nathalie Baracaldo
  - Alina Oprea
- 2021
- IEEE Security and Privacy
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
- - Kaleel Mahmood
  - Phuong Ha Nguyen
  - et al.
- 2021
- IEEE Access
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- - David Stutz
  - Nandhini Chandramoorthy
  - et al.
- 2021
- IEEE TPAMI