CarLab: Framework for Vehicular Data Collection and Processing. - Mert D. Pesé; Arun Ganesan; Kang G. Shin (CarSys@MobiCom, 2017)

LibreCAN: Automated CAN Message Translator. - Mert D. Pesé; Troy Stacer; C. Andrés Campos; Eric Newberry; Dongyao Chen; Kang G. Shin (CCS, 2019)

SPy: Car Steering Reveals Your Trip Route! - Mert D. Pesé; Xiaoying Pu; Kang G. Shin (Proc. Priv. Enhancing Technol., 2020)

S2-CAN: Sufficiently Secure Controller Area Network. - Mert D. Pesé; Jay W. Schauer; Junhui Li; Kang G. Shin (ACSAC, 2021)

DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development. - Mert D. Pesé; Dongyao Chen; C. Andrés Campos; Alice Ying; Troy Stacer; Kang G. Shin (SECON, 2022)

Bringing Practical Security to Vehicles - Mert D. Pesé (2022)

Using Phone Sensors to Augment Vehicle Reliability. - Noah T. Curran; Arun Ganesan; Mert D. Pesé; Kang G. Shin (CNS, 2023)

PRICAR: Privacy Framework for Vehicular Data Sharing with Third Parties. - Mert D. Pesé; Jay W. Schauer; Murali Mohan; Cassandra Joseph; Kang G. Shin; John Moore (SecDev, 2023)

Guess Which Car Type I Am Driving: Information Leak via Driving Apps. - Dongyao Chen; Mert D. Pesé; Kang G. Shin (VehicleSec, 2023)

Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI. - Muhammet Anil Yagiz; Pedram MohajerAnsari; Mert D. Pesé; Polat Goktas (CPSIOTSEC@CCS, 2024)

Achieving the Safety and Security of the End-to-End AV Pipeline. - Noah T. Curran; Minkyoung Cho; Ryan Feng; Liangkai Liu; Brian Jay Tang; Pedram MohajerAnsari; Alkim Domeke; Mert D. Pesé; Kang G. Shin (CSCS, 2024)

An Initial Exploration of Employing Large Multimodal Models in Defending Against Autonomous Vehicles Attacks. - Mohammed Aldeen; Pedram MohajerAnsari; Jin Ma; Mashrur Chowdhury; Long Cheng 005; Mert D. Pesé (IV, 2024)

SoK: Security of the Image Processing Pipeline in Autonomous Vehicles. - Michael Kühr; Mohammad Hamad; Pedram MohajerAnsari; Mert D. Pesé; Sebastian Steinhorst (CoRR, 2024)

Analyzing Privacy Implications of Data Collection in Android Automotive OS. - Bulut Gözübüyük; Brian Jay Tang; Kang G. Shin; Mert D. Pesé (CoRR, 2024)

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

Contextualizing Security and Privacy of Software-Defined Vehicles: State of the Art and Industry Perspectives. - Marco De Vincenzi 001; Mert D. Pesé; Chiara Bodei; Ilaria Matteucci; Richard R. Brooks; Monowar Hasan; Andrea Saracino; Mohammad Hamad; Sebastian Steinhorst (CoRR, 2024)

Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences. - Pedram MohajerAnsari; Amir Salarpour; David Fernandez; Cigdem Kokenoz; Bing Li; Mert D. Pesé (CVPR Workshops, 2025)

MichiCAN: Spoofing and Denial-of-Service Protection using Integrated CAN Controllers. - Mert D. Pesé; Bulut Gözübüyük; Eric Andrechek; Habeeb Olufowobi; Mohammad Hamad; Kang G. Shin (DSN, 2025)

Towards a Comprehensive Evaluation of Voltage-Based Fingerprinting for the CAN Bus. - Ashton McEntarffer; Linxi Zhang; Yu Wei Liu; Mert D. Pesé (SAC, 2025)

WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles. - David Fernandez; Pedram MohajerAnsari; Cigdem Kokenoz; Amir Salarpour; Bing Li; Mert D. Pesé (VehicleSec, 2025)

Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems. - Arkajyoti Mitra; Pedram MohajerAnsari; Afia Anjum; Paul Agbaje; Mert D. Pesé; Habeeb Olufowobi (VehicleSec, 2025)

FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software. - Andrew Roberts; Lorenz Teply; Mert D. Pesé; Olaf Maennel; Mohammad Hamad; Sebastian Steinhorst (CoRR, 2025)

On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving. - Pedram MohajerAnsari; Amir Salarpour; Michael Kühr; Siyu Huang; Mohammad Hamad; Sebastian Steinhorst; Habeeb Olufowobi; Mert D. Pesé (CoRR, 2025)

Anomalous Decision Discovery using Inverse Reinforcement Learning. - Ashish Bastola; Mert D. Pesé; Long Cheng 005; Jonathon M. Smereka; Abolfazl Razi (CoRR, 2025)

FedVLM: Scalable Personalized Vision-Language Models through Federated Learning. - Arkajyoti Mitra; Afia Anjum; Paul Agbaje; Mert D. Pesé; Habeeb Olufowobi (CoRR, 2025)