Alternatives and similar repositories for deep-regression-unlearning

Users that are interested in deep-regression-unlearning are comparing it to the libraries listed below

• shenzebang / CENTAUR-Privacy-Federated-Representation-Learning
  A PyTorch based repository for Federate Learning with Differential Privacy
  ☆16Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 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
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 weeks ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆38Updated last year
• cuis15 / FCFL
  ☆20Updated 3 years ago
• PurduePAML / Exray
  ☆11Updated 3 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• JunyiZhu-AI / surrogate_model_extension
  Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]
  ☆13Updated last year
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years ago
• VITA-Group / Trap-and-Replace-Backdoor-Defense
  [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…
  ☆15Updated last year
• shangxinyi / FEDIC
  ☆20Updated 3 years ago
• desternylin / perfed
  ☆16Updated 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 …
  ☆19Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated last year
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 3 years ago
• YuchenLiu-a / byzantine-gas
  Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".
  ☆14Updated 2 years ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆59Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 8 months ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆30Updated 2 years ago
• epfml / byzantine-robust-decentralized-optimizer
  ☆13Updated 3 years ago
• QinbinLi / FedKT
  Practical One-Shot Federated Learning for Cross-Silo Setting
  ☆42Updated 4 years ago
• omarfoq / knn-per
  Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
  ☆42Updated 2 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆67Updated 3 years ago
• DeRafael / CAFE
  ☆21Updated 3 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆20Updated 3 years ago
• tianshuocong / TePA
  [S&P'24] Test-Time Poisoning Attacks Against Test-Time Adaptation Models
  ☆18Updated 5 months ago