Publications

(2025). LLM-Powered Fuzz Testing of Automotive Diagnostic Protocols.
(2025). FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software. arXiv preprint arXiv:2504.10717.
(2025). FedVLM: Scalable Personalized Vision-Language Models through Federated Learning. The European Conference on Artificial Intelligence (ECAI'25).
(2025). David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation. arXiv preprint arXiv:2510.14115.
(2025). Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems. 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ‘25).
(2025). Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios.
(2025). Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences. The 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X.
(2025). A First Look at Privacy Compliance of Zoom Apps. 2025 IEEE Secure Development Conference (SecDev).
(2024). An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks. In IV'24.