4 papers
Beyond the Hype: Evaluating LLM Integration and Practical Limitations in Security Operation Centers
Elnaz Rabieinejad, Ali Dehghantanha, Fattane Zarrinkalam +1
Large Language Models (LLMs) are increasingly being explored within Security Operation Centers (SOCs) to support text-heavy analytical work such as alert contextualization, inciden…
AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems
Ali Dehghantanha, Sajad Homayoun
AI systems are increasingly involved in decisions and actions that may later require investigation. When an AI related incident occurs, investigators need to reconstruct what the s…
Diagnosing and Repairing Factual Errors in RAG under Budget Constraints
Soroush Hashemifar, Havva Alizadeh Noughabi, Fattane Zarrinkalam +1
Retrieval-Augmented Generation (RAG) improves the factuality of large language models by grounding responses in external evidence, yet real-world deployments remain fragile. Failur…
Uncovering the Persuasive Fingerprint of LLMs in Jailbreaking Attacks
Havva Alizadeh Noughabi, Julien Serbanescu, Fattane Zarrinkalam +1
Despite recent advances, Large Language Models remain vulnerable to jailbreak attacks that bypass alignment safeguards and elicit harmful outputs. While prior research has proposed…