Antonio Bianchi - Purdue University
Students: Fall 2025, unless noted otherwise, sessions will be virtual on Zoom.
Attacking and Defending Modern Software with LLMs
Dec 03, 2025
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Abstract
In this talk, I will discuss recent research projects at the intersection of software security and automated reasoning. Specifically, I will present our work on assessing the exploitability of the Android kernel and developing complex exploits for it, as well as our efforts to uncover bugs in Rust's unsafe code through fuzzing.Throughout the talk, I will highlight how Large Language Models (LLMs) can support both attackers and defenders in analyzing complex software systems, and I will present key lessons on using LLMs effectively along with the practical challenges that arise when integrating them into software security workflows.
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