Publications

223 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
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
- - Huck Yang
  - I-Te Hung
  - et al.
- 2021
- ICLR 2021
Simple Transparent Adversarial Examples
- - Jaydeep Borkar
  - Pin-Yu Chen
- 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
Adaptive Verifiable Training Using Pairwise Class Similarity
- - Shiqi Wang
  - Kevin Eykholt
  - et al.
- 2021
- AAAI 2021
Self-Progressing Robust Training
- - Minhao Cheng
  - Pin-Yu Chen
  - et al.
- 2021
- AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp
- - Akhilan Boopathy
  - Tsui-Wei Weng
  - et al.
- 2021
- AAAI 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
- - Syed Zawad
  - Ahsan Ali
  - et al.
- 2021
- AAAI 2021