1 citations · 1 across the 6 of their papers we have counts for
8 papers
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-…
Security Engineering of OpenClaw: Analyzing Attack Surface Expansion and Trust-Boundary Violations
Saeid Jamshidi, Arghavan Moradi Dakhel, Kawser Wazed Nafi +1
Agentic large language model (LLM) systems can now execute actions, not only produce text. When model outputs trigger privileged operations such as shell commands, browser automati…
Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMs
Saeid Jamshidi, Amin Nikanjam, Arghavan Moradi Dakhel +2
Large Language Models (LLMs) in multi-turn interactions maintain evolving context rather than generating isolated responses, making them vulnerable to prompt-injection and context-…
Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems
Saeid Jamshidi, Arghavan Moradi Dakhel, Kawser Wazed Nafi +1
Large Language Models (LLMs) generate fluent text but remain vulnerable to hallucinations, producing unsupported, inconsistent, and factually incorrect claims. Most prior work trea…
Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation
Saeid Jamshidi, Arghavan Moradi Dakhel, Kawser Wazed Nafi +1
The Model Context Protocol (MCP) enables Large Language Models (LLMs) to interact with external tools via tool descriptors, thereby extending their capabilities for task execution,…
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…