Mert D. Pesé
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  • Publications
    • Toward Inherently Robust VLMs Against Visual Perception Attacks
    • Auditing Traffic-Sign Robustness via DDIM Inversion: Do Diffusion Latents Preserve Shadow Attacks?
    • Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
    • FF3R: Feedforward Feature 3D Reconstruction from Unconstrained views
    • FlexMap: Generalized HD Map Construction from Flexible Camera Configurations
    • Interpretable Adversarial Prompt Tuning via Semantic Concepts
    • NPNet: A Non-Parametric Network with Adaptive Gaussian-Fourier Positional Encoding for 3D Classification and Segmentation
    • Quantitative Evaluation of Git-Blockchain Synchronization Models for Trustworthy Software Provenance in Internet of Vehicles
    • SASA: Sequence-Aware Shadow Attacks via Attention Alignment for Traffic Sign Recognition
    • Secure Automotive Ethernet: Implementing and Benchmarking MACsec, IPsec, and TLS
    • SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition
    • SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
    • Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving - A Cross-Architecture Analysis
    • Enhancing Security Through Task Migration in Software-Defined Vehicles
    • Advancing Automotive Software Supply Chain Security: A Blockchain-Reproducible Build Approach
    • A First Look at Privacy Compliance of Zoom Apps
    • Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences
    • Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios
    • Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems
    • David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation
    • FedVLM: Scalable Personalized Vision-Language Models through Federated Learning
    • FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software
    • LLM-Powered Fuzz Testing of Automotive Diagnostic Protocols
    • MichiCAN: Spoofing and Denial-of-Service Protection using Integrated CAN Controllers
    • Security and data privacy of modern automobiles
    • Small Language Models on the Edge for Real-World Agentic Systems in Industry
    • Towards a Comprehensive Evaluation of Voltage-Based Fingerprinting for the CAN Bus
    • WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles
    • An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks
    • Comparing Open-Source UDS Implementations Through Fuzz Testing
    • Fuzzing CAN vs. ROS: An Analysis of Single-Component vs. Dual-Component Fuzzing of Automotive Systems
    • AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness
    • WIP: A First Look At Employing Large Multimodal Models Against Autonomous Vehicle Attacks
    • Analyzing Privacy Implications of Data Collection in Android Automotive OS
    • Contextualizing Security and Privacy of Software-Defined Vehicles: State of the Art and Industry Perspectives
    • Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles
    • Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
    • An Overview of Security in Connected and Autonomous Vehicles
    • PRICAR: Privacy Framework for Vehicular Data Sharing with Third Parties
    • Using Phone Sensors to Augment Vehicle Reliability
    • A First Look at Android Automotive Privacy
    • Guess Which Car Type I Am Driving: Information Leak via Driving Apps
    • Achieving the safety and security of the end-to-end av pipeline
    • DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development
    • Bringing Practical Security to Vehicles
    • S2-CAN: Sufficiently Secure Controller Area Network
    • SPy: Car Steering Reveals Your Trip Route!
    • Security Analysis of Android Automotive
    • LibreCAN: Automated CAN Message Translator
    • Survey of Automotive Privacy Regulations and Privacy-Related Attacks
    • CarLab: Framework for Vehicular Data Collection and Processing
    • Context-aware Intrusion Detection in Automotive Control Systems
    • HW/SW Co-Design of an Automotive Embedded Firewall
    • Postdoc
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    On this page

    • Postdoc
    • PhD Students
    • Master’s Students
    • Undergraduate Students
    • Visiting Students
    • Alumni
    • Master’s Students
    • Visiting Students
    • Pictures

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    Postdoc

    • Dr. Amir Salarpour

    PhD Students

    • Jan de Voor
    • Alkim Domeke
    • David Fernandez
    • Yu Wei (Sam) Liu
    • Pedram MohajerAnsari
    • Derik Pack
    • Robert Taylor
    • Run Wang (co-advised with Dr. Siyu Huang)
    • Correy Washburn (co-advised with Dr. Richard Brooks)

    Master’s Students

    • Levent Celik

    Undergraduate Students

    • Anna Galeano
    • Ashton McEntarffer

    Visiting Students

    • Ramin Babazade

    Alumni

    Master’s Students

    • Bulut Gozubuyuk

    Visiting Students

    • Philipp Bauerfeind

    Pictures

    February 2026
    Lab Picnic 2025
    Lab Picnic 2024

    © 2026 Mert D. Pesé. This work is licensed under CC BY NC ND 4.0

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