Publications

225 results for Adversarial Robustness and Privacy

Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
- - Janvi Thakkar
  - Giulio Zizzo
  - et al.
- 2024
- AAAI 2024
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
- - Janvi Thakkar
  - Giulio Zizzo
  - et al.
- 2024
- AAAI 2024
Adversarial Attacks on Fairness of Graph Neural Networks
- - Binchi Zhang
  - Yushun Dong
  - et al.
- 2024
- ICLR 2024
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- - Shuli Jiang
  - Swanand Ravindra Kadhe
  - et al.
- 2023
- NeurIPS 2023
Attacking c-MARL More Effectively: A Data Driven Approach
- - Nhan Pham
  - Lam Nguyen
  - et al.
- 2023
- ICDM 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
- - Chulin Xie
  - Yunhui Long
  - et al.
- 2023
- CCS 2023
2nd Workshop on Data Integrity and Secure Cloud Computing (DISCC)
- - Pradip Bose
  - Jennifer Dworak
  - et al.
- 2023
- MICRO 2023