Robust Randomized Smoothing via Two Cost-Effective Approaches
- Linbo Liu
- Trong Nghia Hoang
- et al.
- 2022
- ICLR 2022
Publications
226 results for Adversarial Robustness and Privacy
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
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
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
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
- Yonggan Fu
- Qixuan Yu
- et al.
- 2021
- NeurIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
- Lijie Fan
- Sijia Liu
- et al.
- 2021
- NeurIPS 2021