Publications

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pesé (2025). Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios.

Pedram MohajerAnsari, Amir Salarpour, David Fernandez, Cigdem Kokenoz, Bing Li, Mert D. Pesé (2025). Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences. The 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X.

Andrew York, Mohammed Aldeen, Jingwen Yan, Pranav Silimkhan, Song Liao, Mert D. Pesé, Long Cheng (2025). A First Look at Privacy Compliance of Zoom Apps. 2025 IEEE Secure Development Conference (SecDev).

Mohammed Aldeen, Pedram MohajerAnsari, Jin Ma, Mashrur Chowdhury, Long Cheng, Mert D. Pesé (2024). An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks. In IV'24.

Iwinosa Aideyan, Richard Brooks, Mert D. Pesé (2024). Fuzzing CAN vs. ROS: An Analysis of Single-Component vs. Dual-Component Fuzzing of Automotive Systems. In WCX'24.

Levent Çelik, John McShane, Christian Scott, Iwinosa Aideyan, Richard Brooks, Mert D. Pesé (2024). Comparing Open-Source UDS Implementations Through Fuzz Testing. In WCX'24.

Mohammed Aldeen, Pedram MohajerAnsari, Jin Ma, Mashrur Chowdhury, Long Cheng, Mert D. Pesé (2024). WIP: A First Look At Employing Large Multimodal Models Against Autonomous Vehicle Attacks. In VehicleSec'24.

Paul Agbaje, Abraham Mookhoek, Afia Anjum, Arkajyoti Mitra, Mert D. Pesé, Habeeb Oluwofobi (2024). AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness. In VehicleSec'24.

Muhammet Anil Yagiz, Pedram MohajerAnsari, Mert D. Pesé, Polat Goktas (2024). Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI. Proceedings of the Sixth Workshop on CPS&IoT Security and Privacy.

Pedram MohajerAnsari, Alkim Domeke, Jan De Voor, Arkajyoti Mitra, Grace Johnson, Amir Salarpour, Habeeb Olufowobi, Mohammad Hamad, Mert D. Pesé (2024). Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles. arXiv preprint arXiv:2409.18248.