LVE Project Had alot of fun with the challenges!

As you can tell from my previous Tweet I'm making my way to NOLA for NeurIPS Conference #NeurIPS2023. Happy to chat about LMQL (Language Model Query Language), LVE Project, my papers (🧵👇) and trustworthy/safe AI in general.

Want to chat about the LVE project at NeurIPS Conference #NeurIPS2023? We made it easy to spot Marc Fischer.

🎄For the festive season, we have added a number of bonus levels to the current batch of LVE community challenges. Have a look, and help us red team LLMs in the process! Happy holidays everyone! LVE Challenges: lve-project.org/challenges/

Projects have been gathering a lot of data about LLM vulnerabilities via gamification. Join Lakera AI, Tensor Trust, Learn Prompting, and LVE Project for our Lessons Learned from Crowdsourced LLM Threat Intelligence webinar on 2024-01-25 at 18:00 UTC. lakera.ai/event/crowdsou…

🗒️ LVE Repository Like CVEs but for LLMs A project documenting and tracking vulnerabilities and exposures of large language models (LVEs) lve-project.org/index.html

I'm excited to represent LVE Project at the webinar. Hope to see you there!

We are really excited to present thoughts and insights from our project at the Lessons Learned from Crowdsourced LLM Threat Intelligence!

LLM vulnerabilities also extend to systems build around them like AI Agents. Check out our recent work on the topic.

We are delighted to announce Invariant Labs (invariantlabs.ai)! Our mission is to make AI agents secure and reliable! It is founded by Martin Vechev, Mislav Balunović, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr and builds on years of experience in industry and academia.