Publications

219 results for Adversarial Robustness and Privacy

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- - Xiangyu Qi
  - Yi Zeng
  - et al.
- 2024
- ICLR 2024
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems
- - Zishen Wan
  - Nandhini Chandramoorthy
  - et al.
- 2024
- ASPLOS 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
- - Chulin Xie
  - Pin-Yu Chen
  - et al.
- 2024
- IEEE SaTML 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- - Shengwei An
  - Sheng-Yen Chou
  - et al.
- 2024
- AAAI 2024
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
- - Janvi Thakkar
  - Giulio Zizzo
  - et al.
- 2024
- AAAI 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
- - 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
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
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023