Alternatives and similar repositories for mico-first-principles

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

• yonsei-sslab / MIA
  🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
  ☆35Updated 3 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆59Updated 5 years ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆369Updated 3 weeks ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆67Updated 4 years ago
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆29Updated 8 months ago
• dunky11 / adversarial-frontier-stitching
  Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
  ☆24Updated 4 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• cleverhans-lab / machine-unlearning
  ☆198Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• 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
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆213Updated 8 months ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆24Updated 3 years ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆102Updated last year
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆66Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆32Updated 2 years ago
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• microsoft / MICO
  Membership Inference Competition
  ☆32Updated 2 years ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 5 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆161Updated 2 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆82Updated last year
• lhfowl / robbing_the_fed
  ☆26Updated 4 years ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆83Updated 2 years ago
• google-deepmind / unlearning_evaluation
  ☆18Updated 8 months ago
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆35Updated 3 years ago