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AI Data Security

Creator
Creator
Seonglae Cho
Created
Created
2023 Dec 18 5:36
Editor
Editor
Seonglae Cho
Edited
Edited
2024 Mar 6 14:12
Refs
Refs
AI Data Security Notion
Differential privacy
 
 
 
Privacy Considerations in Large Language Models
Machine learning-based language models trained to predict the next word in a sentence have become increasingly capable, common, and useful, leading to groundbreaking improvements in applications like question-answering, translation, and more. But as language models continue to advance, new and unexpected risks can be exposed, requiring the research community to proactively work to develop new ways to mitigate potential problems.
Privacy Considerations in Large Language Models
https://blog.research.google/2020/12/privacy-considerations-in-large.html
Privacy Considerations in Large Language Models

Data extraction

Scalable Extraction of Training Data from (Production) Language Models
This paper studies extractable memorization: training data that an adversary can efficiently extract by querying a machine learning model without prior knowledge of the training dataset. We show...
Scalable Extraction of Training Data from (Production) Language Models
https://arxiv.org/abs/2311.17035
Scalable Extraction of Training Data from (Production) Language Models
 
 

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AI Data Security
Copyright Seonglae Cho