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🤫 celebrates

Congzheng Song

Privacy-of-ML researcher; pfl-research co-author

EngineeringiOS
The work

What we are celebrating, specifically.

  • pfl-research framework
  • Research on information leakage in ML models

Apple

ML research, privacy-preserving learning (formerly)

OpenAI

Member of Technical Staff · current

Why

Why we celebrate them.

Congzheng studied how models leak their training data, then spent his Apple years building systems that do not. That attacker's honesty, folded into pfl-research and Apple's federated learning work, is what real privacy engineering looks like.

Sources — their own pages, so you can check us

  • Personal site
  • pfl-research paper
This page is yours

Congzheng Song, this belongs to you.

We built this from your public work because we think it deserves celebrating. You did not ask us to, so the only fair thing is that you decide what happens to it. Claim it and it is yours to edit. Ask us to change something and we will. Ask us to take it down and it is gone within 72 hours — free, no account needed, and nobody will try to talk you out of it.

Claim or remove this pageEveryone we celebrate