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20182026
most citedFanar: An Arabic-Centric Multimodal Generative AI Platform

5 citations · 11 across the 13 of their papers we have counts for

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10 papers · 1 filter

cs.CR2026

SSP-Bench: A Hybrid Data Generation Framework for Safety, Security, and Privacy Evaluation

Fatih Deniz, Yazan Boshmaf, Issa Khalil

Evaluation of large language models (LLMs) for safety, security, and privacy (SSP) relies heavily on static benchmarks, which suffer from score saturation, data contamination, and…

cs.CR2026

Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks

Aymene Berriche, Cathrine Shalby, Mohannad Alhanahnah +1

Large language model (LLM) benchmarks are often treated as fixed datasets with stable scores, yet their outcomes depend on configurable evaluation pipelines. We audit eight cyberse…

cs.CR2026

aiXamine: Unified Black-Box Evaluation of Cross-Dimensional Trade-offs in LLM Safety, Security, and Privacy

Fatih Deniz, Yazan Boshmaf, Dorde Popovic +1

The critical failure modes in deployed large language models (LLMs) are cross-dimensional: a model can score 99.3 in safety alignment while refusing one in three benign queries, or…

cs.CR2026

Poison with Style: A Practical Poisoning Attack on Code Large Language Models

Khang Tran, Yazan Boshmaf, Issa Khalil +3

Code Large Language Models (CLLMs) serve as the core of modern code agents, enabling developers to automate complex software development tasks. In this paper, we present Poison-wit…

cs.CR2026

CallShield: Secure Caller Authentication over Real-Time Audio Channels

Mouna Rabh, Yazan Boshmaf, Mashael Alsabah +3

We present CallShield, the first caller identity authentication system that operates entirely at the audio layer, without relying on speech transcription, internet connectivity, or…

cs.CR2025

aiXamine: Simplified LLM Safety and Security

Fatih Deniz, Dorde Popovic, Yazan Boshmaf +4

Evaluating Large Language Models (LLMs) for safety and security remains a complex task, often requiring users to navigate a fragmented landscape of ad hoc benchmarks, datasets, met…

cs.CR2022★ 1 cited

Dizzy: Large-Scale Crawling and Analysis of Onion Services

Yazan Boshmaf, Isuranga Perera, Udesh Kumarasinghe +2

With nearly 2.5m users, onion services have become the prominent part of the darkweb. Over the last five years alone, the number of onion domains has increased 20x, reaching more t…

cs.CR2019

Investigating MMM Ponzi scheme on Bitcoin

Yazan Boshmaf, Charitha Elvitigala, Husam Al Jawaheri +2

Cybercriminals exploit cryptocurrencies to carry out illicit activities. In this paper, we focus on Ponzi schemes that operate on Bitcoin and perform an in-depth analysis of MMM, o…

cs.CR2018★ 1 cited

BlockTag: Design and applications of a tagging system for blockchain analysis

Yazan Boshmaf, Husam Al Jawaheri, Mashael Al Sabah

Annotating blockchains with auxiliary data is useful for many applications. For example, e-crime investigations of illegal Tor hidden services, such as Silk Road, often involve lin…

cs.CR2018★ 1 cited

Deanonymizing Tor hidden service users through Bitcoin transactions analysis

Husam Al Jawaheri, Mashael Al Sabah, Yazan Boshmaf +1

With the rapid increase of threats on the Internet, people are continuously seeking privacy and anonymity. Services such as Bitcoin and Tor were introduced to provide anonymity for…