On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
- Ren Wang
- Kaidi Xu
- et al.
- 2021
- ICLR 2021
Conference paper
Publications
228 results for Adversarial Robustness and Privacy
Robust Overfitting may be mitigated by properly learned smoothening
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2021
- ICLR 2021
Conference paperToward Non-Singular Robustness of Neural Networks
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
Workshop paperCausal Inference Q-Network: Toward Resilient Reinforcement Learning
- Huck Yang
- I-Te Hung
- et al.
- 2021
- ICLR 2021
Workshop paperHigh-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Siyue Wang
- Xiao Wang
- et al.
- 2021
- ICLR 2021
Workshop paperSimple Transparent Adversarial Examples
- Jaydeep Borkar
- Pin-Yu Chen
- 2021
- ICLR 2021
Workshop paperAdversarial Data Augmentation Improves Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2021
- ICLR 2021
Workshop paperFormalizing Generalization and Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
Workshop paperOptimization problems for machine learning: A survey
- Claudio Gambella
- Bissan Ghaddar
- et al.
- 2021
- EJOR
ReviewLinear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2021
- AISTATS 2021
Conference paper