Reverse Engineering of Imperceptible Adversarial Image Perturbations
- Yuguang Yao
- Yifan Gong
- et al.
- 2022
- ICLR 2022
Conference paper
Publications
228 results for Adversarial Robustness and Privacy
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- Yimeng Zhang
- Yuguang Yao
- et al.
- 2022
- ICLR 2022
Conference paperRobust Randomized Smoothing via Two Cost-Effective Approaches
- Linbo Liu
- Trong Nghia Hoang
- et al.
- 2022
- ICLR 2022
Workshop paperLost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
- Neel Bhandari
- Pin-Yu Chen
- 2022
- ICLR 2022
Workshop paperMeta Adversarial Perturbations
- Chia-Hung Yuan
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Workshop paperAdversarial Machine Learning for Good
- 2022
- AAAI 2022
TutorialRandom and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
PaperBesting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
PaperMachine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
PaperNeural Population Geometry Reveals the Role of Stochasticity in Robust Perception
- Joel Dapello
- Jenelle Feather
- et al.
- 2021
- NeurIPS 2021
Conference paper