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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
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…