Alternatives and similar repositories for tiny-imagenet

Users that are interested in tiny-imagenet are comparing it to the libraries listed below

• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆76Updated last year
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆22Updated last year
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆32Updated 2 years ago
• meghdadk / SCRUB
  ☆46Updated 11 months ago
• inspire-group / tta_risk
  ☆11Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 8 months ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 weeks ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated last year
• IBM / SafeLoRA
  Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"
  ☆15Updated last week
• AdityaGolatkar / SelectiveForgetting
  ☆57Updated 5 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆21Updated last month
• baowenxuan / ATP
  [NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.
  ☆23Updated last year
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆38Updated 10 months ago
• MartinPawel / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆27Updated last year
• UCDvision / backdoor_transformer
  ☆31Updated 2 years ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆20Updated 7 months ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated last year
• SCLBD / DBD
  ☆31Updated 3 years ago
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆126Updated last month
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated last year
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆36Updated 4 years ago
• git-disl / Booster
  This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…
  ☆29Updated 3 months ago
• Pengxin-Guo / FedSA-LoRA
  Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]
  ☆38Updated 3 months ago
• shash42 / Evaluating-Inexact-Unlearning
  ☆13Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 years ago
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆15Updated 4 months ago
• if-loops / selective-synaptic-dampening
  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
  ☆53Updated 10 months ago
• sophie-xhonneux / Continuous-AdvTrain
  ☆24Updated 11 months ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years ago