[un]prompted helping to define MLsec
One of our key missions at BIML is to define the future of machine learning security. [un]prompted was hugely helpful in that regard, and we are proud to have participated.
All in one place; real people leading important work in MLsec.
The [un]prompted conference delivered. No frills, all substance. This is where AI researchers and security practitioners met to share what they are seeing and doing across the new world of machine learning security and AI vulnerability risk.
Anthropic’s Nicolas Carlini delivered an excellent talk titled “Black-hat LLMs,” all about automating attack with AI tools. The urgency came through—we are at a very real inflection point. Carlini implored the audience to “help make the future go well!!!” (by being part of the solution making #AI as secure a possibe…) in a room packed with peers from OpenAI, Google Deepmind, Nvidia, Salesforce, founders of early stage AI companies, and actual real life hackers and security engineers.
(*) Carlini features in BIML’s TOP 5 (our research group curates an extensive annotated bibliography here) for his work on Data Extraction.
(*) Another star in the field, Ilia Shumilova whose 2023 paper on Recursive Pollution is also in our Top 5was in townrepresenting his start-up Sequrity AI.
(*) Carl Hurd of Starseer shared how his startup is revolutionizing MLsec by opening the black box, and looking inside to see what is actually going on.
In all, the conference was packed with two tracks of speakers selected from over 500 submitted proposals. Thank you to everyone who submitted talks. And a massive thank you to the sponsors KnosticTachTechAISLE, Whiterabbit, Halcyon Futures, Halcyon Ventures and for the hard work of Gadi, Kyle, Pedram, Ida, Sounil and many others.
And, one more thing…. you can engage in the content of the conference via this [un]prompted 2026 NotebookLM creation by Rob T. Lee – amazing!
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