Adversarial Machine Learning for Good
- 2022
- AAAI 2022
Publications
308 results for Pin-Yu Chen
Optimizing molecules using efficient queries from property evaluations
- Samuel C. Hoffman
- Vijil Chenthamarakshan
- et al.
- 2021
- Nature Machine Intelligence
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
- Nghia Hoang
- Lam Nguyen
- 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
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2021
- NeurIPS 2021
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
- Arpan Mukherjee
- Ali Tajer
- et al.
- 2021
- NeurIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
The SenSE Toolkit: A System for Visualization and Explanation of Semantic Shift
- Maurício Gruppi
- Sibel Adalı
- et al.
- 2021
- NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- NeurIPS 2021
Catastrophic Data Leakage in Vertical Federated Learning
- Xiao Jin
- Pin-Yu Chen
- et al.
- 2021
- NeurIPS 2021