Reverse Engineering of Imperceptible Adversarial Image Perturbations
- Yuguang Yao
- Yifan Gong
- et al.
- 2022
- ICLR 2022
Publications
227 results for Adversarial Robustness and Privacy
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
- 2022
- AAAI 2022
Machine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
Besting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- Joel Dapello
- Jenelle Feather
- et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021