AI Paper Reading Club - Monthly Meetup

Join us for our monthly AI Paper Reading Club, a relaxed and welcoming space for anyone curious about the cutting edge of machine learning and artificial intelligence. Whether you're here for deep dives into the math behind the models or prefer to focus on the practical impact of applied research, this event has something for you.

Each session features a volunteer presenter who picks a recent or classic paper to unpack, ranging from rigorous theoretical work to industry-shaping applications.

Bring your questions, your insights, or just your curiosity. There’s no pressure to present, and all backgrounds are welcome.

We believe in learning together, at our own pace, no gatekeeping, no ego, just AI enthusiasts helping each other grow.

Paper Title: Design Patterns for Securing LLM Agents against Prompt Injections
Paper Link: https://arxiv.org/abs/2506.08837
Abstract: "Design Patterns for Securing LLM Agents against Prompt Injections”
As AI agents powered by Large Language Models (LLMs) become increasingly versatile and capable of addressing a broad spectrum of tasks, ensuring their security has become a critical challenge. Among the most pressing threats are prompt injection attacks, which exploit the agent’s resilience on natural language inputs — an especially dangerous threat when agents are granted tool access or handle sensitive information. In this work, we propose a set of principled design patterns for building AI agents with provable resistance to prompt injection. We systematically analyze these patterns, discuss their trade-offs in terms of utility and security, and illustrate their real-world applicability through a series of case studies.

Presenter: Yanir Seroussi
Presenter LinkedIn: https://www.linkedin.com/in/yanirseroussi/

We thank Microsoft for generously sponsoring the venue for this event. The company support makes it possible for us to bring the AI community together, share knowledge, and grow as a collective.

Contact the host of August Event: AI Paper Reading

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