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20232026
most citedExploring Security Practices in Infrastructure as Code: An Empirical Study

7 citations · 7 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Why Do LLMs Fail at OCL Generation? A Graph Reasoning Perspective

Hamza Attarwala, Moataz Chouchen, Mohammad Hamdaqa +1

Large Language Models (LLMs) are increasingly used to generate Object Constraint Language (OCL) constraints from natural language specifications and UML class diagrams. However, ex…

cs.CR2026

Multi-Agent LLM Governance for Safe Two-Timescale Reinforcement Learning in SDN-IoT Defense

Saeid Jamshidi, Negar Shahabi, Foutse Khomh +2

Software-Defined Networking (SDN) is increasingly adopted to secure Internet-of-Things (IoT) networks due to its centralized control and programmable forwarding. However, SDN-IoT d…

cs.AI2026

Adversarial Moral Stress Testing of Large Language Models

Saeid Jamshidi, Foutse Khomh, Arghavan Moradi Dakhel +3

Evaluating the ethical robustness of large language models (LLMs) deployed in software systems remains challenging, particularly under sustained adversarial user interaction. Exist…

cs.SE2026

Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing

Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek +2

Extensive simulation-based testing is important for assuring the safety of autonomous driving systems (ADS). However, generating safety-critical traffic scenarios remains challengi…

cs.CR2026

Verifiable Manifest Signing and Transparency Enforcement for Secure MCP-Based LLM Pipelines

Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel +2

Large Language Models (LLMs) are increasingly deployed in tool-driven environments such as healthcare analytics, financial systems, retrieval-augmented generation (RAG), and multi-…