Alternatives and similar repositories for data-banzhaf:

Users that are interested in data-banzhaf are comparing it to the libraries listed below

• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 2 years ago
• woodyx218 / opacus_global_clipping
  ☆13Updated last year
• zhenglisec / Label-Only-MIA
  ☆19Updated 4 months ago
• JialinMao / private_CNN
  ☆10Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated 11 months ago
• wuyinjun-1993 / DeltaGrad
  ☆28Updated 3 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆23Updated 2 years ago
• shrezaei / MI-Attack
  ☆31Updated 4 months ago
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆10Updated 4 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆47Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆20Updated last year
• lhfowl / robbing_the_fed
  ☆23Updated 3 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• facebookresearch / calibration_membership
  Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
  ☆16Updated 3 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆85Updated 5 months ago
• AI-secure / aug-pe
  [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  ☆32Updated 2 weeks ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆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
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆63Updated 3 years ago
• wagner-group / MarkMyWords
  ☆26Updated 7 months ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated last year
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆58Updated 5 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆68Updated 11 months ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆34Updated last year