Author

Issa M. Khalil

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Preprint Aug 2026

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

AiXamine is introduced, a unified black-box platform that evaluates LLM trustworthiness across safety, security, and privacy as interdependent properties and uncovers three cross-dimensional phenomena invisible to single-axis evaluation.

Fatih Deniz, Yazan Boshmaf, Dorde Popovic et al. · 0 citations

#machine learning Preprint Sep 2026

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

SSP-Bench reveals systematic failures of static evaluation, including near-zero correlation in safety rankings due to construct mixing, strong safety--over-refusal coupling, and hidden within-family regressions, and shows that static benchmarks can misrepresent model behavior, motivating dynamic, deployment-relevant ev...

Fatih Deniz, Yazan Boshmaf, Issa M. Khalil · 0 citations