right-to-be-forgotten

Awesome Machine Unlearning (A Survey of Machine Unlearning)

A resource repository for machine unlearning in large language models

[NeurIPS D&B '25] The one-stop repository for LLM unlearning

A common framework enabling companies to work together to protect consumers' privacy and data rights.

Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)

Right to be forgotten - directory of direct links to delete your account from persian web services. دایرکتوری حق فراموش شدن سرویس های ایرانی

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024

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Project website, methods and graphics for the investigative project on the Right to be Forgotten

Data Privacy platform that helps create and manage DSR requests from the users

The self-correcting memory layer for AI agents. Zero-dependency Python memory and MCP server. Supersede, revert, or forget a value deterministically. Verifiable erasure, witness-backed tamper-evident receipts, EU AI Act ready.

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Multi-GPU framework for reproducible image-unlearning evaluation, with independent training, unlearning and evaluation seeds and extensible datasets, models, methods and metrics. Published at WIPE-OUT 2 (ECML-PKDD 2026).

A tool for purging messages from DM chats in Discord

“Right to be Forgotten” is a right to have private information removed from the internet search engine, database, websites or other public platforms.

Provable right-to-be-forgotten for AI agent memory. DPDP/GDPR Article 17 erasure across graph (Cognee), vector (pgvector), and inference log (TensorZero), with a signed deletion receipt a regulator can verify offline.

Track where a data subject's data actually went across a RAG/LLM stack, erase it everywhere, and get a receipt that says what was verified and what was not.

Provable, crypto-shredded erasure on a tamper-evident ledger. Prove a person is deleted everywhere, while the audit trail stays intact.

Docs: https://erasus.readthedocs.io/en/latest/ Forget data from any foundation model without retraining. Erasus surgically removes concepts, behaviors, or training samples from LLMs, VLMs, and Diffusion models using coreset selection. 90% less compute, certified removal, multimodal support.

Generate a GDPR access, GDPR erasure or CCPA deletion letter that cites the right article and states the real statutory deadline. Runs entirely in your browser.