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deepanwadhwa/zink

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A Python package for zero-shot text anonymization using Transformer-based NER models.

11 mentions on Hacker News by 3 people: 4 stories, 7 comments · first 2025-03-06 · latest 2026-10-10

Mentions per year 11 mentions · busiest year 2025 (9)
20082026
  1. I have worked in this field and I am the author of this package - https://github.com/deepanwadhwa/zink A few things jump out since this is done by the government: - the lowest hanging fruit for this problem is to clearly tell people…
  2. …i built something exactly similar last year. - https://github.com/deepanwadhwa/semi_private_chat - https://github.com/deepanwadhwa/zink
  3. Neat - I built something similar - https://github.com/deepanwadhwa/zink?tab=readme-ov-file#3-sh...
  4. …up using any of the frontier models, don't forget to protect private information in your prompts - https://github.com/deepanwadhwa/zink
    comment by dwa3592 · 2025-11-28 · in So you wanna build a local RAG?
  5. …mask your personal info before you sent it to Anthropic (or OpenAI, Google). Use this maybe - https://github.com/deepanwadhwa/zink#shielding-llm-and-api-c...
  6. …video showing exactly how the approval process is for long documents. Is this something similar - https://github.com/deepanwadhwa/zink?tab=readme-ov-file#shie... ?
    comment by deepanwadhwa · 2025-08-26 · in Show HN: RAG-Guard: Zero-Trust Document AI
  7. Oh hey! Good to see this. I built something similar in python a while ago. Check it out: https://github.com/deepanwadhwa/zink The shield functionality fits directly in your LLM workflow.