zeyuanyin / tiny-imagenetLinks
☆19Updated last year
Alternatives and similar repositories for tiny-imagenet
Users that are interested in tiny-imagenet are comparing it to the libraries listed below
Sorting:
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- ☆14Updated 2 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- ☆58Updated 5 years ago
- ☆50Updated last year
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 7 months ago
- ☆89Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated 2 years ago
- ☆33Updated 3 years ago
- [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening☆55Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- ☆24Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- ☆33Updated 4 months ago
- ☆14Updated 2 years ago
- [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.☆24Updated 2 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated 2 years ago
- The first toolkit for MLRM safety evaluation, providing unified interface for mainstream models, datasets, and jailbreaking methods!☆14Updated 8 months ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Code for paper "Membership Inference Attacks Against Vision-Language Models"☆25Updated 11 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- ☆13Updated last year
- ☆13Updated 2 years ago
- Camouflage poisoning via machine unlearning☆18Updated 5 months ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆14Updated 10 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆23Updated last week
- ☆28Updated 2 years ago