Alternatives and similar repositories for quantile-mia

Users that are interested in quantile-mia are comparing it to the libraries listed below

• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆18Updated 5 months ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated last month
• facebookresearch / calibration_membership
  Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
  ☆16Updated 4 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 3 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• DependableSystemsLab / MIA_defense_HAMP
  Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …
  ☆11Updated 2 years ago
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆30Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆21Updated 3 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
  ☆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 6 years ago
• uchicago-sandlab / naturalbackdoors
  Code for identifying natural backdoors in existing image datasets.
  ☆15Updated 3 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• SCLBD / DBD
  ☆33Updated 3 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆52Updated 3 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 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…
  ☆23Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆59Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• zhenglisec / Label-Only-MIA
  ☆20Updated last year
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆17Updated 9 months ago
• Zixuan-Zhu / VaB
  ☆13Updated last year
• reds-lab / CLIP-MIA
  This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…
  ☆24Updated 2 years ago