5 citations · 11 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…