Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
- Xin Zhao
- Zeru Zhang
- et al.
- 2021
- ICML 2021
Conference paper
Publications
228 results for Adversarial Robustness and Privacy
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
- Chulin Xie
- Minghao Chen
- et al.
- 2021
- ICML 2021
Conference paperVoice2Series: Reprogramming Acoustic Models for Time Series Classification
- Huck Yang
- Yun-Yun Tsai
- et al.
- 2021
- ICML 2021
Conference paperGeneralizing Adversarial Training to Composite Semantic Perturbations
- Yun Yun Tsai
- Lei Hsiung
- et al.
- 2021
- ICML 2021
Workshop posterOn the Effectiveness of Poisoning against Unsupervised Domain Adaptation
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- ICML 2021
Workshop posterPractical Adversarial Robustness in Deep Learning: Problems and Solutions
- Pin-Yu Chen
- Sayak Paul
- 2021
- CVPR 2021
TutorialNon-singular adversarial robustness of neural networks
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICASSP 2021
Conference paperData-efficient framework for real-world multiple sound source 2D localization
- Guillaume Le Moing
- Phongtharin Vinayavekhin
- et al.
- 2021
- ICASSP 2021
Conference paperStatistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
Conference paperGenerating Adversarial Computer Programs using Optimized Obfuscations
- Shashank Srikant
- Sijia Liu
- et al.
- 2021
- ICLR 2021
Conference paper