Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure

Michele Laurelli
9/22/2024
cs.AI

No confident code implementation found for this paper. 1 possible match can be shown below.

Abstract

As large-scale AI systems proliferate, ensuring compliance with data privacy laws such as the General Data Protection Regulation (GDPR) has become critical. This paper introduces Brain Surgery, a transformative methodology for making every local AI model GDPR-ready by enabling real-time privacy management and targeted unlearning. Building on advanced techniques such as Embedding-Corrupted Prompts (ECO Prompts), blockchain-based privacy management, and privacy-aware continual learning, Brain Surgery provides a modular solution that can be deployed across various AI architectures. This tool not only ensures compliance with privacy regulations but also empowers users to define their own privacy limits, creating a new paradigm in AI ethics and governance.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{laurelli2024brain,
  title  = {Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure},
  author = {Michele Laurelli},
  year   = {2024},
  eprint = {2409.14603},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.14603v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2409.14603.svg)](https://codeofpaper.com/paper/2409.14603)

Discussion