Alternatives and similar repositories for Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory

Users that are interested in Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory are comparing it to the libraries listed below

• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆38Updated last year
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• shrezaei / MI-Attack
  ☆31Updated 9 months ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆50Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• wanlunsec / Beatrix
  ☆23Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 2 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆57Updated 2 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆65Updated 3 years ago
• hyhmia / BlindMI
  ☆23Updated 2 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated 8 months ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 6 months ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 3 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆10Updated 4 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆34Updated 5 years ago
• TDteach / Demon-in-the-Variant
  ☆12Updated 3 years ago
• SCLBD / DBD
  ☆31Updated 3 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 3 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆36Updated 9 months ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆14Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆48Updated 3 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago