I am a PhD student at the Chair of Machine Learning and Security as part of BIFOLD and Technische Universität Berlin.
My research focuses on how real-world implementations introduce subtle and unexpected discrepancies between systems. I analyze how these differences can be exploited to undermine their integrity and how users can defend against these threats.
Fingerprinting Inference Systems of Large Language Models.
Advances in Neural Information Processing Systems 40 (NeurIPS), 2026.
Data Augmentation in Learning-Based Binary Code Analysis.
19th ACM Workshop on Artificial Intelligence and Security (AISEC), 2026.
LLM-based Vulnerability Discovery through the Lens of Code Metrics.
48th IEEE/ACM International Conference on Software Engineering (ICSE), 2026.
Adversarial Inputs for Linear Algebra Backends.
42nd International Conference on Machine Learning (ICML), 2025.
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting.
33rd USENIX Security Symposium, 2024.
Distinguished Paper Award
Cross-Language Differential Testing of JSON Parsers.
19th ACM Asia Conference on Computer and Communications Security (ASIACCS), 2024.
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing.
19th ACM Asia Conference on Computer and Communications Security (ASIACCS), 2024.
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning.
32nd USENIX Security Symposium, 2023.