FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Publications
226 results for Adversarial Robustness and Privacy
Reprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Certified Interpretability Robustness for Class Activation Mapping
- Alex Gu
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Text Captcha Is Dead? A Large Scale Deployment and Empirical Study
- Chenghui Shi
- Shouling Ji
- et al.
- 2020
- CCS 2020
Adversarial Knowledge Transfer from Unlabeled Data
- Akash Gupta
- Rameswar Panda
- et al.
- 2020
- MM 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2020
- IEEE SPM
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
- Victor Akinwande
- Celia Cintas
- et al.
- 2020
- KDD 2020
Proper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- Yun Yun Tsai
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Distributionally robust policy evaluation and learning in offline contextual bandits
- Nian Si
- Fan Zhang
- et al.
- 2020
- ICML 2020