Alternatives and similar repositories for cyphercat

Users that are interested in cyphercat are comparing it to the libraries listed below

• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆148Updated 2 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• yashkant / model-inversion-attack
  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…
  ☆85Updated 2 years ago
• jagielski / manip-ml
  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
  ☆53Updated 4 years ago
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆193Updated 7 years ago
• columbia / pixeldp
  ☆66Updated 6 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 5 years ago
• usnistgov / trojai-literature
  ☆146Updated 9 months ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• csong27 / ml-model-remember
  Code for Machine Learning Models that Remember Too Much (in CCS 2017)
  ☆30Updated 7 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆37Updated 6 years ago
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆84Updated 3 years ago
• Kooscii / BadNets
  ☆99Updated 4 years ago
• shrezaei / MI-Attack
  ☆32Updated 11 months ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• ebagdasa / pytorch-privacy
  simple Differential Privacy in PyTorch
  ☆48Updated 5 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆187Updated 2 years ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆17Updated 4 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 6 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated 11 months ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• hyhmia / BlindMI
  ☆22Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆59Updated 6 years ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• suyeecav / Hybrid-Attack
  ☆24Updated 2 years ago
• bolunwang / backdoor
  Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…
  ☆296Updated 5 years ago
• PurduePAML / TrojanNN
  Trojan Attack on Neural Network
  ☆184Updated 3 years ago