Publications
  1. David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pese (2026)
    Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis
    SAE Technical Paper 2026-01-0170, WCX SAE World Congress Experience
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  2. David Fernandez, Pedram MohajerAnsari, Cigdem Kokenoz, Amir Salarpour, Bing Li, Mert D. Pese (2026)
    From MIRAGE to CLEAR: Component-Level Explainable Anomaly Reasoning for Autonomous Vehicle Perception Systems
    IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2026)
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  3. Edward B. Duffy, David Fernandez (2025)
    Small Language Models on the Edge for Real-World Agentic Systems in Industry
    Southern African Conference for Artificial Intelligence Research (SACAIR 2025)
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  4. David Fernandez, Pedram MohajerAnsari, Cigdem Kokenoz, Amir Salarpour, Bing Li, Mert D. Pese (2025)
    WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles
    3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec 2025)
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  5. Pedram MohajerAnsari, David Fernandez (2025)
    Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2025), pp. 3600–3608
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  6. Amir Salarpour, Pedram MohajerAnsari, David Fernandez, Mert D. Pese (2025)
    SASA: Sequence-Aware Shadow Attacks via Attention Alignment for Traffic Sign Recognition
    6th Workshop on Adversarial Machine Learning on Computer Vision: Safety of Vision-Language Agents (AdvML@CVPR)
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  7. David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pese (2025)
    Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios
    SAE Technical Paper 2025-01-8213, WCX SAE World Congress Experience
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  8. Philipp Bauerfeind, David Fernandez (2025)
    David vs. Goliath: A Comparative Study of Different-Sized LLMs for Code Generation in the Domain of Automotive Scenario Generation
    arXiv preprint
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