10 citations · 18 across the 9 of their papers we have counts for
10 papers
Optimal Fusion Weights Form Intervals, Not Points: A Latency-Aware Study of Query-Adaptive WRRF
Iris Ma, Zahra Shekarchi, Stuart Mcilroy +3
Reciprocal Rank Fusion (RRF) is widely used to combine sparse and dense retrievers in hybrid information retrieval, but a critical limitation is that it assigns a fixed, uniform we…
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…
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…
From Noise to Order: Learning to Rank via Denoising Diffusion
Sajad Ebrahimi, Bhaskar Mitra, Negar Arabzadeh +4
In information retrieval (IR), learning-to-rank (LTR) methods have traditionally limited themselves to discriminative machine learning approaches that model the probability of the…
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…
Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
Keerthana Madhavan, Abbas Yazdinejad, Fattane Zarrinkalam +1
As AI systems integrate into critical infrastructure, security gaps in AI compliance frameworks demand urgent attention. This paper audits and quantifies security risks in three ma…
P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking
Hedyeh Nazari, Abbas Yazdinejad, Ali Dehghantanha +2
Software Defined Networking (SDN) has brought significant advancements in network management and programmability. However, this evolution has also heightened vulnerability to Advan…
Systemization of Knowledge (SoK)- Cross Impact of Transfer Learning in Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives
Sofiya Makar, Ali Dehghantanha, Fattane Zarrinkalam +2
Recent literature highlights a significant cross-impact between transfer learning and cybersecurity. Many studies have been conducted on using transfer learning to enhance security…
Event Identification in Social Networks
Fattane Zarrinkalam, Ebrahim Bagheri
Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as…
Temporal Identification of Latent Communities on Twitter
Hossein Fani, Fattane Zarrinkalam, Xin Zhao +3
User communities in social networks are usually identified by considering explicit structural social connections between users. While such communities can reveal important informat…