Mert D. Pesé

According to our database, Mert D. Pesé authored at least 25 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedVLM: Scalable Personalized Vision-Language Models through Federated Learning.

Arkajyoti Mitra, Afia Anjum, Paul Agbaje, Mert D. Pesé, Habeeb Olufowobi

CoRR, July, 2025

Anomalous Decision Discovery using Inverse Reinforcement Learning.

Ashish Bastola, Mert D. Pesé, Long Cheng, Jonathon M. Smereka, Abolfazl Razi

CoRR, July, 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, June, 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, April, 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

Proceedings of the 3rd USENIX Symposium on Vehicle Security and Privacy, 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

Proceedings of the 3rd USENIX Symposium on Vehicle Security and Privacy, 2025

Towards a Comprehensive Evaluation of Voltage-Based Fingerprinting for the CAN Bus.

Ashton McEntarffer, Linxi Zhang, Yu Wei Liu, Mert D. Pesé

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 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

Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences.

Pedram MohajerAnsari, Amir Salarpour, David Fernandez, Cigdem Kokenoz, Bing Li, Mert D. Pesé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Contextualizing Security and Privacy of Software-Defined Vehicles: State of the Art and Industry Perspectives.

Marco De Vincenzi, Mert D. Pesé, Chiara Bodei, Ilaria Matteucci, Richard R. Brooks, Monowar Hasan, Andrea Saracino, Mohammad Hamad, Sebastian Steinhorst

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

Analyzing Privacy Implications of Data Collection in Android Automotive OS.

Bulut Gözübüyük, Brian Jay Tang, Kang G. Shin, Mert D. Pesé

CoRR, 2024

SoK: Security of the Image Processing Pipeline in Autonomous Vehicles.

Michael Kühr, Mohammad Hamad, Pedram MohajerAnsari, Mert D. Pesé, Sebastian Steinhorst

CoRR, 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, Mert D. Pesé

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Proceedings of the 2024 on Cyber Security in CarS Workshop, 2024

Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI.

Muhammet Anil Yagiz, Pedram MohajerAnsari, Mert D. Pesé, Polat Goktas

Proceedings of the Sixth Workshop on CPS&IoT Security and Privacy, 2024

2023

Guess Which Car Type I Am Driving: Information Leak via Driving Apps.

Dongyao Chen, Mert D. Pesé, Kang G. Shin

Proceedings of the Inaugural International Symposium on Vehicle Security and Privacy, 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

Proceedings of the IEEE Secure Development Conference, 2023

Using Phone Sensors to Augment Vehicle Reliability.

Noah T. Curran, Arun Ganesan, Mert D. Pesé, Kang G. Shin

Proceedings of the IEEE Conference on Communications and Network Security, 2023

2022

Bringing Practical Security to Vehicles

Mert D. Pesé

PhD thesis, 2022

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

Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

2021

S2-CAN: Sufficiently Secure Controller Area Network.

Mert D. Pesé, Jay W. Schauer, Junhui Li, Kang G. Shin

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

SPy: Car Steering Reveals Your Trip Route!

Mert D. Pesé, Xiaoying Pu, Kang G. Shin

Proc. Priv. Enhancing Technol., 2020

2019

LibreCAN: Automated CAN Message Translator.

Mert D. Pesé, Troy Stacer, C. Andrés Campos, Eric Newberry, Dongyao Chen, Kang G. Shin

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2017

CarLab: Framework for Vehicular Data Collection and Processing.

Mert D. Pesé, Arun Ganesan, Kang G. Shin

Proceedings of the 2nd ACM International Workshop on Smart, 2017