Robust Overfitting may be mitigated by properly learned smoothening
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2021
- ICLR 2021
Publications
227 results for Adversarial Robustness and Privacy
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Siyue Wang
- Xiao Wang
- et al.
- 2021
- ICLR 2021
Simple Transparent Adversarial Examples
- Jaydeep Borkar
- Pin-Yu Chen
- 2021
- ICLR 2021
Toward Non-Singular Robustness of Neural Networks
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
- Huck Yang
- I-Te Hung
- et al.
- 2021
- ICLR 2021
Adversarial Data Augmentation Improves Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2021
- ICLR 2021
Optimization problems for machine learning: A survey
- Claudio Gambella
- Bissan Ghaddar
- et al.
- 2021
- EJOR
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Don't Forget to Sign the Gradients!
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2021
- MLSys 2021