fjxmlzn / private-evolution-papersLinks
The collection of papers about Private Evolution
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- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
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- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆61Updated last year
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- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
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- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Updated 2 years ago
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- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 5 months ago
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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
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Updated last year
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- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
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- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
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