Pedram MohajerAnsari

According to our database, Pedram MohajerAnsari authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis.

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pesé

CoRR, April, 2026

Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures.

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Long Cheng, Abolfazl Razi, Mert D. Pesé

CoRR, March, 2026

SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé

CoRR, March, 2026

NPNet: A Non-Parametric Network with Adaptive Gaussian-Fourier Positional Encoding for 3D Classification and Segmentation.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari, Mert D. Pesé

CoRR, February, 2026

SoK: Security of the Image Processing Pipeline for Camera-based Sensing in Autonomous Vehicles.

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

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

2025

David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation.

Philipp Bauerfeind, Amir Salarpour, David Fernandez, Pedram MohajerAnsari, Johannes Reschke, Mert D. Pesé

CoRR, October, 2025

Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet.

Mohammad Saeid, Amir Salarpour, Pedram MohajerAnsari

CoRR, September, 2025

A robust, resilience machine learning with risk approach: a case study of gas consumption.

Reza Lotfi, Mehdi Changizi, Pedram MohajerAnsari, Alireza Hosseini, Zahra Javaheri, Sadia Samar Ali

Ann. Oper. Res., August, 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

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

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

Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding.

Marzieh Mohammadi, Amir Salarpour, Pedram MohajerAnsari

Proceedings of the 29th International Computer Conference, Computer Society of Iran, 2025

2024

A Robust, resilience and risk-aware solar energy farm location by Bi-Level programming approach.

Reza Lotfi, Pedram MohajerAnsari, Mohammad Mehdi Sharifi Nevisi, Seyed Mahdi Sharifmousavi, Mohamad Afshar, Mojtaba Sadreddini Mehrjardi

RAIRO Oper. Res., 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

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