Alternatives and similar repositories for DeltaGrad

Users that are interested in DeltaGrad are comparing it to the libraries listed below

• shrezaei / MI-Attack
  ☆32Updated last year
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 6 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆69Updated 4 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆39Updated 7 years ago
• google-deepmind / informed_adversary_mnist_reconstruction
  ☆20Updated 3 years ago
• Sanghyun-Hong / Gradient-Shaping
  [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
  ☆10Updated 5 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 3 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆110Updated 3 years ago
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆10Updated 6 years ago
• MadryLab / backdoor_data_poisoning
  ☆26Updated 7 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆54Updated 4 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• meghdadk / SCRUB
  ☆51Updated last year
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆12Updated 5 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆132Updated last year
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆25Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆68Updated 4 years ago
• DingfanChen / GAN-Leaks
  Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
  ☆47Updated 3 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆21Updated 3 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆76Updated last year
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 3 years ago