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263-2931-00L 2 Credits MSC D-INFK , D-MATH , D-ITET

AI Security Seminar: From Code to Agent Security

The deadline for deregistering is by the end of the second week of the semester. Students, who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
VVZ CR n/a

Last Updated: 2026-06-03 00:07:36

Abstract

The seminar covers various topics at the intersection of AI and security, including AI for code security and the security of AI agents.

Objective

The objective of the seminar is to: - Introduce students to the fields of AI security and AI for security. - Learn practical techniques on how to attack and secure code and agentic systems using Large Language Models (LLMs). - Highlight the latest research and work opportunities in industry and academia available on these topics.

Content

The rapid integration of AI into the software development lifecycle has created a paradigm shift in security. This seminar explores two critical frontiers: AI for Code Security and the Security of AI Agents. As AI models become proficient at generating and reasoning about code, they offer unprecedented opportunities to automate "hard" security tasks. We will examine how well LLMs can generate secure code and how they facilitate automated vulnerability discovery, and the synthesis of secure patches. Unlike traditional static analysis, these AI-driven approaches can navigate the vast complexity of modern software repositories to identify subtle logic flaws that previously required manual auditing. Simultaneously, the rise of LLM based AI Agents introduces new security vulnerabilities. Because these agents operate on natural language interfaces, with no clear separation of instructions and data, they are susceptible to various attacks. We aim to understand how to attack and secure those agents. In this seminar, we will cover the latest developments in these fields, including adversarial robustness, formal verification, and secure architectures for code and agentic workflows. The seminar is carried out as a set of presentations chosen from a list of available papers. The grade is determined as a function of the presentation, handling questions and answers, and active participation in discussions.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Registration & Places

Max Places
22
Signup End
28.09.2026
Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar AI Security Seminar: From Code to Agent Security No time listed 2 h weekly

Offered In