mlsanityData to 7 Oct 2026

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

arXiv 2409.14603 ↗First posted 22 Sep 2024cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 22 Sep 2024.

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References · 5

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  2. 2022Locating and Editing Factual Associations in GPTcited by 2,609
  3. 2021Editing Factual Knowledge in Language Modelscited by 548
  4. 2021Fast Model Editing at Scalecited by 491
  5. 2023Unveiling the Pitfalls of Knowledge Editing for Large Language Modelscited by 43

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