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Fingerprinting Leaderboard
Open benchmark for robust, verifiable model fingerprints
Models cost millions to train, but minutes to copy, erasing their origin traill. Introducing the Fingerprinting Leaderboard, an open benchmark for testing model provenance after copying, fine-tuning and distilling. The Sentient Foundation’s goal is to build the proof into the model itself.
Hello Product Hunt! 👋
At Sentient Foundation, we believe AI should belong to the people. Today we're bringing our Fingerprinting Leaderboard to a whole new community of builders.
Once a model's weights are out, no one can trace them. A model can be copied, fine-tuned or distilled, and its creator has no way to prove where it came from.
Our Sentient Labs researchers from Princeton, UW and UIUC spent two years on open-model IP protection. Their SaTML 2026 spotlight paper showed that a skilled attacker can evade almost every fingerprinting scheme. Their NeurIPS 2025 method, Perinucleus, embedded 24,576 fingerprints into Llama-3.1-8B with minimal performance loss.
The Fingerprinting Leaderboard is an open benchmark that compares how reliably fingerprinting methods verify provenance, survive attacks and preserve model utility. The first release ranks 14 schemes from Microsoft, UW, ETH Zurich, Tokyo Tech and China Agricultural University.
It's free and fully open source:
🔍 Explore and rank your scheme: [fingerprint.sentient.foundation](https://fingerprint.sentient.fou...)
📄 Methodology: [github.com/sentient-agi/mlprints](https://github.com/sentient-agi/...)
📚 Blog: [sentient.foundation/news/fingerprinting-for-ai-models](https://sentient.foundation/news...)
Tell us what our evaluation gets wrong, or which scheme you think is misranked!
Nicole, Sentient Foundation
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About Fingerprinting Leaderboard on Product Hunt
“Open benchmark for robust, verifiable model fingerprints ”
Fingerprinting Leaderboard was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #155 on the daily leaderboard. Models cost millions to train, but minutes to copy, erasing their origin traill. Introducing the Fingerprinting Leaderboard, an open benchmark for testing model provenance after copying, fine-tuning and distilling. The Sentient Foundation’s goal is to build the proof into the model itself.
Fingerprinting Leaderboard was featured in Open Source (69k followers), Artificial Intelligence (481.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 180.5k products, making this a competitive space to launch in.
Who hunted Fingerprinting Leaderboard?
Fingerprinting Leaderboard was hunted by Nicole. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Fingerprinting Leaderboard stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nicole