activity
20242026
most citedPCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

PCLA-Bridge: A Framework for Cross-Domain Deployment of CARLA Agents

Masoud Jamshidiyan Tehrani, Jinhan Kim, Paolo Tonella

Most high-performing end-to-end autonomous driving agents (ADAs) are developed for the CARLA Leaderboard, tightly coupling them to CARLA's APIs, sensor layouts, coordinate systems,…

cs.CR2026

Dynamic Deception: When Pedestrians Team Up to Fool Autonomous Cars

Masoud Jamshidiyan Tehrani, Marco Gabriel, Jinhan Kim +1

Many adversarial attacks on autonomous-driving perception models fail to cause system-level failures once deployed in a full driving stack. The main reason for such ineffectiveness…

cs.SE2025★ 1 cited

PCLA: A Framework for Testing Autonomous Agents in the CARLA Simulator

Masoud Jamshidiyan Tehrani, Jinhan Kim, Paolo Tonella

Recent research on testing autonomous driving agents has grown significantly, especially in simulation environments. The CARLA simulator is often the preferred choice, and the auto…

cs.CR2024

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles

Masoud Jamshidiyan Tehrani, Jinhan Kim, Rosmael Zidane Lekeufack Foulefack +2

The advent of deep learning and its astonishing performance has enabled its usage in complex systems, including autonomous vehicles. On the other hand, deep learning models are sus…

cs.CR2024

Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis

Masoud Jamshidiyan Tehrani

Software built on poor structural patterns often shows higher exposure to security defects. When code differs from established best practices, verification and maintenance become i…