Antonio Bianchi - Purdue University
Students: Fall 2025, unless noted otherwise, sessions will be virtual on Zoom.
Join us live on Zoom >
( Register to receive a reminder )
Wednesday, Dec 03, 2025 04:30pm - 05:30pm ET
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.
( Register to receive a reminder )
Wednesday, Dec 03, 2025 04:30pm - 05:30pm ET
Students: this is a hybrid event. You are strongly encouraged to attend in-person. Location: STEW G-52 (Suite 050B)
Antonio Bianchi
Dec 03, 2025
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.
About the Speaker

Ways to Watch

