fjxmlzn / private-evolution-papersLinks
The collection of papers about Private Evolution
☆17Updated 2 months ago
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- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
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- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 4 months ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
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- Official PyTorch Implementation for Continual Learning and Private Unlearning☆16Updated 3 years ago
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- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆19Updated 2 years ago
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
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- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
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- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago