ml:privacy

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Table of Contents

Privacy in Machine Learning

Privacy in Machine Learning

Overviews

Mireshghallah et al 2020 - Privacy in Deep Learning: A Survey

Membership Inference Attacks

Overviews
- Hu et al 2021 - Membership Inference Attacks on Machine Learning: A Survey
In NLP
- Song & Shmatikov 2018 - Auditing Data Provenance in Text-Generation Models Membership inference attack for language models
- Seq2seq
  - Hisamoto et al 2020 - Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?
- In general
  - Carlini et al 2021 - Membership Inference Attacks From First Principles

Related Pages

Extracting Knowledge from Language Models

ml/privacy.1696997434.txt.gz · Last modified: 2023/10/11 04:10 by jmflanig