Alternatives and similar repositories for RelaxLoss:

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

• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆20Updated 2 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆88Updated 7 months ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆58Updated 5 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated 5 months ago
• shrezaei / MI-Attack
  ☆31Updated 6 months ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 6 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 5 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• fmy266 / Pytorch-Backdoor-Unlearning
  Pytorch implementation of backdoor unlearning.
  ☆18Updated 2 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 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
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• cleverhans-lab / entangled-watermark
  ☆44Updated 4 years ago
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆34Updated 2 years ago
• yigitcankaya / augmentation_mia
  The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
  ☆8Updated 3 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆32Updated last year