Announcing model blind spots powered by intelligent workflows.🚀

LatticeFlow and ETH Organize AI Security and Safety Workshop

AI+X Summit

Mark your calendar for Oct 13!

Join our live workshop at AI+X Summit 2023 and hear first hand from leading AI experts and industry veterans to explore the ins and outs of AI, its ethical implications and growing importance in our digital world. Among the array of topics, LatticeFlow’s innovative methodologies to make AI models safe and trustworthy will be a highlight. This is happening at a time when people are really asking for AI to be reliable, trustworthy, and fair. We will also dive deep into the  EU AI Act and its implications on your business.

Agenda

Session 1: Trustworthy AI (60 min)

Participants Kevin (Modulos), Christian (CRLT Services GmbH, mandated by Migros Bank), and Petar (LatticeFlow).

Session 2: LLM Security AI (60 min)

Participants Mislav & Luca (SRI Lab), Václav Volhejn (Lakera), and Pavol (LatticeFlow)

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Get to know the participants!

Petar Tsankov - CEO and Co-Founder of LatticeFlow.

LatticeFlow’s vision is to revolutionize the development of AI models with trust and safety. Previousely, Petar co-founded ChainSecurity that was acquired by PwC. He is also an honorary recipient of the John Atanasoff Prize, and an AI researcher who graduated top of his class from Georgia Tech and earned his doctorate from ETH Zurich, while pioneering the verification of neural networks and other systems. Under Petar’s leadership, LatticeFlow has garnered many prestigious AI awards, such as the Swiss AI Award, the US Army Global AI Award, and was listed on CB Insights AI100 in 2022.

Florian Tramèr - Assistant professor of computer science at ETH Zurich.

His research interests lie in Computer Security, Cryptography and Machine Learning security. In  his current work, he studies the worst-case behavior of Deep Learning systems from an  adversarial perspective, to understand and mitigate long-term threats on the safety and  privacy of users.

Kevin Schawinski - Co-founder  and CEO of Modulos

Kevin studied astrophysics at Oxford University, spent time as a researcher  at Yale and NASA and worked as an assistant professor at ETH Zurich. Kevin is also the co-founder  of the Galaxy Zoo citizen science project where he studied the growth of galaxies and  supermassive black holes using space telescopes and pioneered approaches for using AI in  astrophysics research.

Pavol Bielik - CTO and Co-Founder of LatticeFlow.

Pavol holds a PhD in machine learning and AI systems from ETH Zurich. He is also the honorary recipient of Meta’s Fellowship award, 2017 and the Romberg Grant, 2016. Pavol’s  technical vision . As the CTO of LatticeFlow, Pavol is dedicated to pushing the boundaries of scaling the development of large machine learning models with a focus on enhancing quality and safety through automation.

Karin Schoefegger - Director of Product, LatticeFlow

Pavol holds a PhD in machine learning and AI systems from ETH Zurich. He is also the honorary recipient of Meta’s Fellowship award, 2017 and the Romberg Grant, 2016. Pavol’s  technical vision . As the CTO of LatticeFlow, Pavol is dedicated to pushing the boundaries of scaling the development of large machine learning models with a focus on enhancing quality and safety through automation.

Mislav Balunovic - ETH Zurich

Mislav is a final year PhD student at ETH Zurich, supervised by Martin Vechev. The  goal of his research is to develop robust, fair and private AI systems.

Václav Volhejn - Applied ML Scientist at Lakera

Václav’s current  focus is on the research of prompt injection attacks and defenses. He is also one of the main creators of  Gandalf, the world’s largest prompt injection game. Václav studied  at Charles University in Prague and later relocated to Zürich to study CS at ETH on an  ESOP scholarship. Václav earned a gold  medal from the International Olympiad in Informatics in 2016.

Luca Beurer -Kellner - ETH Zurich

Lucca is a PhD student at the Department of Computer Science, ETH  Zürich. His research revolves around machine learning and programming languages, with a  focus on large language models. Luca is the main author of the LMQL programming language – an open source project that aims to improve the safety and reliability of language models, as  they are deployed more widely.

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