Alternatives and similar repositories for Re-thinking_MI:

Users that are interested in Re-thinking_MI are comparing it to the libraries listed below

• LukasStruppek / Plug-and-Play-Attacks
  [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…
  ☆40Updated 6 months ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆41Updated last year
• AlanPeng0897 / Defend_MI
  [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
  ☆24Updated last year
• Jiachen-T-Wang / mi-defense
  Improving Robustness to Model Inversion Attacks via Mutual Information Regularization (AAAI 2021)
  ☆6Updated last year
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆32Updated 5 months ago
• LetheSec / PLG-MI-Attack
  [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
  ☆25Updated 4 months ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆24Updated 2 years ago
• AI-secure / GMI-Attack
  ☆25Updated 3 years ago
• lhfowl / robbing_the_fed
  ☆23Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆68Updated 2 years ago
• THUYimingLi / Untargeted_Backdoor_Watermark
  This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…
  ☆53Updated 10 months ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• zhangzp9970 / MIA
  Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
  ☆29Updated last year
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆52Updated 2 months ago
• ffhibnese / GIFD_Gradient_Inversion_Attack
  [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
  ☆34Updated 7 months ago
• rkteddy / channel-Lipschitzness-based-pruning
  Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness
  ☆29Updated 2 years ago
• wangkua1 / vmi
  Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
  ☆20Updated 3 years ago
• KuofengGao / ASD
  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset
  ☆46Updated 10 months ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆81Updated last year
• SCLBD / DBD
  ☆31Updated 2 years ago
• multimodalbags / BAGS_Multimodal
  Backdooring Multimodal Learning
  ☆23Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆156Updated last month
• SCLBD / BlackboxBench
  ☆99Updated 10 months ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 3 months ago
• hsouri / Sleeper-Agent
  ☆65Updated last year
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• yziqi / adversarial-model-inversion
  Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
  ☆46Updated 5 years ago