Alternatives and similar repositories for mico-first-principles:

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

• DevPranjal / reproduction-review-kd
  Reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021
  ☆10Updated 2 years ago
• lhfowl / robbing_the_fed
  ☆23Updated 3 years ago
• dunky11 / adversarial-frontier-stitching
  Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
  ☆24Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆64Updated 3 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• lhfowl / adversarial_poisons
  ☆48Updated 3 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆70Updated 10 months 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
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 3 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆32Updated 5 months ago
• YuxinWenRick / canary-in-a-coalmine
  ☆33Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆46Updated 2 years ago
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆22Updated 3 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆41Updated last year
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆28Updated last month
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆16Updated 2 years ago
• zhenglisec / Label-Only-MIA
  ☆19Updated 5 months ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆18Updated last year
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆52Updated 4 years ago
• shrezaei / MI-Attack
  ☆31Updated 5 months ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆75Updated 7 months ago
• HanxunH / CognitiveDistillation
  [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
  ☆32Updated 4 months ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆20Updated last year
• hsouri / Sleeper-Agent
  ☆65Updated last year
• cmmc27 / A3FL
  ☆24Updated 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…
  ☆11Updated 10 months ago