Alternatives and similar repositories for Unlearn-Sparse:

Users that are interested in Unlearn-Sparse are comparing it to the libraries listed below

• meghdadk / SCRUB
  ☆43Updated 6 months ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆22Updated 4 months ago
• shash42 / Evaluating-Inexact-Unlearning
  ☆11Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆56Updated 4 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆16Updated 2 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 3 months ago
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆64Updated 3 years ago
• 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
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆32Updated 5 months ago
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆112Updated 3 months ago
• ndb796 / MachineUnlearning
  Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
  ☆56Updated 3 weeks ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆68Updated last year
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆30Updated last year
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆32Updated last year
• UCDvision / backdoor_transformer
  ☆29Updated 2 years ago
• lhfowl / robbing_the_fed
  ☆23Updated 3 years ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated last year
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆16Updated 2 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆35Updated last year
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆29Updated 2 years ago
• ThuCCSLab / MergeGuard
  [CCS-LAMPS'24] LLM IP Protection Against Model Merging
  ☆13Updated 4 months ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated last year
• zeyuanyin / tiny-imagenet
  ☆17Updated last year
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆18Updated last year
• wagner-group / MarkMyWords
  ☆26Updated 8 months ago
• MartinPawel / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆23Updated last year