privacy-attacks

There are 0 repository under privacy-attacks topic.

• 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 Careful What You Smooth For".

  face-recognitionprivacy-preserving-machine-learningprivacy-attacksmodel-inversionmachine-learningstylegan2model-inversion-attacks
  Language:Jupyter Notebook 31

• AI-secure / LinkTeller

  [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, Bo Li

  graph-neural-networksedge-inferenceprivacy-attacksdifferential-privacyadversarial-attacks
  Language:Python 21

• wangkua1 / vmi

  Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

  machine-learninggenerative-modelsmodel-inversionprivacy-attacks
  Language:Python 20

• jeffhj / LM_PersonalInfoLeak

  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)

  associationemail-addresslanguage-modelmemorizationpersonal-privacypretrained-language-modelprivacyprivacy-attacksenron-emails
  Language:Python 18
• marich

  Debabrota-Basu / marich

  Marich is a model-agnostic extraction algorithm. It uses a public data to query a private model, aggregates the predicted labels, and construct a distributionall equivalent/max-information leaking extracted model.

  active-learningmodel-extractionprivacyprivacy-attacks
  Language:Jupyter Notebook 3

• guyelov / Face-Recognition-Mitigation-Method

  A mitigation method against privacy violation attacks on face recognition systems

  face-recognitionmembership-inference-attackprivacy-attackspytorch
  Language:Python 0

• synthetic-society / recon-synth

  Source code for https://arxiv.org/abs/2301.10053

  privacyprivacy-attacksprivacy-enhancing-technologiessynthetic-datasynthetic-dataset-generation
  Language:Python