Alternatives and similar repositories for Plug-and-Play-Attacks

Users that are interested in Plug-and-Play-Attacks are comparing it to the libraries listed below

• sutd-visual-computing-group / Re-thinking_MI
  [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks
  ☆43Updated 2 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• AlanPeng0897 / Defend_MI
  [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
  ☆24Updated 4 months ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆213Updated 8 months ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• zhenglisec / Label-Only-MIA
  ☆21Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• ffhibnese / GIFD_Gradient_Inversion_Attack
  [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.
  ☆51Updated last year
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆62Updated 3 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆83Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆67Updated 4 years ago
• wangkua1 / vmi
  Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
  ☆22Updated 4 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆36Updated 3 months ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• HanxunH / Unlearnable-Examples
  [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
  ☆169Updated last year
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆27Updated 3 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆37Updated last year
• ffhibnese / Model-Inversion-Attack-ToolBox
  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
  ☆189Updated 4 months ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆127Updated 4 years ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• SCLBD / DBD
  ☆32Updated 3 years ago
• jinyuan-jia / BadEncoder
  ☆83Updated 4 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 3 years ago