Alternatives and similar repositories for mico-first-principles

Users that are interested in mico-first-principles are comparing it to the libraries listed below

• HongshengHu / membership-inference-machine-learning-literature
  ☆370Updated last month
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• dunky11 / adversarial-frontier-stitching
  Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
  ☆24Updated 4 years ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆102Updated last year
• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆35Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆68Updated 4 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• TASI-LAB / Unlearning-inversion-attacks
  This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…
  ☆19Updated last year
• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆111Updated last year
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 5 years ago
• YuxinWenRick / canary-in-a-coalmine
  ☆33Updated 2 years ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• DevPranjal / reproduction-review-kd
  reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021
  ☆10Updated 3 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years 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
• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆161Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• KaiyuanZh / CENSOR
  [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
  ☆16Updated last year
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 3 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆19Updated 7 months ago
• zhenglisec / Label-Only-MIA
  ☆22Updated last year
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆46Updated 9 months ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• 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…
  ☆46Updated 6 months ago
• cleverhans-lab / machine-unlearning
  ☆198Updated 2 years ago