Alternatives and similar repositories for verifiable-unlearning

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

• pps-lab / fl-analysis
  ☆28Updated 2 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 6 years ago
• pps-lab / rofl-project-code
  ☆32Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆38Updated 3 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆22Updated 4 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• wuwuz / sparse-vector-aggregation
  ☆9Updated 3 years ago
• pasquini-dario / EludingSecureAggregation
  Eluding Secure Aggregation in Federated Learning via Model Inconsistency
  ☆12Updated 2 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆23Updated 4 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• git-disl / CPL_attack
  ☆37Updated 3 years ago
• eniac / flamingo
  A secure aggregation system for private federated learning
  ☆41Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆108Updated 2 years ago
• jeremy313 / Soteria
  Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"
  ☆56Updated 2 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 3 years ago
• LPD-EPFL / ByzantineMomentum
  Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
  ☆22Updated 4 years ago
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆35Updated last year
• MIA-FL / SP22
  Membership Inference Attack on Federated Learning
  ☆12Updated 3 years ago
• zechenghe / Inverse_Collaborative_Inference
  ☆45Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• woodyx218 / opacus_global_clipping
  ☆15Updated 2 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆62Updated 8 months ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated 10 months ago
• xinjianluo / featureinference-vfl
  ☆25Updated 3 years ago