Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Conference paper
Publications
228 results for Adversarial Robustness and Privacy
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2024
- ASPLOS 2024
Conference paperImproving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
- Chulin Xie
- Pin-Yu Chen
- et al.
- 2024
- IEEE SaTML 2024
Conference paperElijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
Conference paperDifferentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Workshop paperElevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Workshop paperNear-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paperA Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paperVillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
- Sheng-yen Cho
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Conference paperForcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks
- Shuli Jiang
- Swanand Ravindra Kadhe
- et al.
- 2023
- NeurIPS 2023
Workshop paper