Alternatives and similar repositories for Privacy-DiffGen:

Users that are interested in Privacy-DiffGen are comparing it to the libraries listed below

• malaggan / heterogeneous-differential-privacy
  Implementation of the peer-to-peer simulation used for the experimental evaluation of the Heterogeneous Differential Privacy paper.
  ☆10Updated 4 years ago
• ssg-research / WAFFLE
  WAFFLE: Watermarking in Federated Learning
  ☆17Updated last year
• surrealyz / growtrees
  Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf
  ☆18Updated 3 years ago
• prashmohan / GUPT
  A Privacy Preserving Data Mining Platform
  ☆46Updated 12 years ago
• Henrygwb / Explaining-DL
  ☆55Updated 5 years ago
• suyeecav / Hybrid-Attack
  ☆23Updated last year
• spliew / shuffgauss
  ☆10Updated last year
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 3 years ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆101Updated 5 years ago
• jagielski / manip-ml
  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'
  ☆53Updated 3 years ago
• srndic / mimicus
  A library for adversarial classifier evasion
  ☆40Updated 10 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆53Updated 5 years ago
• jinyuan-jia / AttriGuard
  ☆23Updated 6 years ago
• xlhex / extract_and_transfer
  ☆9Updated 3 years ago
• surrealyz / verified-global-properties
  Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf
  ☆27Updated 3 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆29Updated 3 years ago
• mzweilin / PDF-Malware-Parser
  PDF Malware Parser
  ☆20Updated 8 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• JunfengGo / AEVA-Blackbox-Backdoor-Detection-main
  ☆25Updated 2 years ago
• mmalekzadeh / honest-but-curious-nets
  Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
  ☆18Updated 2 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆57Updated 2 years ago
• yw3xs / PPDL
  privacy preserving deep learning
  ☆15Updated 7 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 5 years ago
• sam-yeom / ml-privacy-csf18
  Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"
  ☆38Updated 6 years ago
• Sanghyun-Hong / Gradient-Shaping
  [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
  ☆10Updated 4 years ago
• BililiCode / ARGD
  This is an implementation demo of the IJCAI 2022 paper [Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation …
  ☆20Updated 2 months ago
• SPIN-UMass / ML-Privacy-Regulization
  ☆26Updated 6 years ago
• hwang595 / DETOX
  DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
  ☆16Updated 4 years ago
• yfchen1994 / poisoning_membership
  ☆18Updated 9 months ago