Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-yen Chou
- et al.
- 2024
- AAAI 2024
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212 results for Adversarial Robustness and Privacy
Adversarial Attacks on Fairness of Graph Neural Networks
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
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
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
- Chulin Xie
- Yunhui Long
- et al.
- 2023
- CCS 2023
How to Bind Anonymous Credentials to Humans
- Julia Hesse
- Nitin Singh
- et al.
- 2023
- USENIX Security 2023
Identification of the Adversary from a Single Adversarial Example
- Minhao Cheng
- Rui Min
- et al.
- 2023
- ICML 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
- Sihui Dai
- Saeed Mahloujifar
- et al.
- 2023
- ICML 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2023
- DAC 2023