Publications

219 results for Adversarial Robustness and Privacy

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
- - Ren Wang
  - Kaidi Xu
  - et al.
- 2021
- ICLR 2021
Generating Adversarial Computer Programs using Optimized Obfuscations
- - Shashank Srikant
  - Sijia Liu
  - et al.
- 2021
- ICLR 2021
Robust Overfitting may be mitigated by properly learned smoothening
- - Tianlong Chen
  - Zhenyu Zhang
  - et al.
- 2021
- ICLR 2021
Toward Non-Singular Robustness of Neural Networks
- - Yu-Lin Tsai
  - Chia-Yi Hsu
  - et al.
- 2021
- ICLR 2021
Simple Transparent Adversarial Examples
- - Jaydeep Borkar
  - Pin-Yu Chen
- 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
High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- - Siyue Wang
  - Xiao Wang
  - et al.
- 2021
- ICLR 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
- - Yu-Lin Tsai
  - Chia-Yi Hsu
  - et al.
- 2021
- ICLR 2021
Optimization problems for machine learning: A survey
- - Claudio Gambella
  - Bissan Ghaddar
  - et al.
- 2021
- EJOR