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SSP-Bench: A Hybrid Data Generation Framework for Safety, Security, and Privacy Evaluation
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 aggregation artifacts, and fail to capture sensitivity to linguistic variation. As a result, models that perform well on
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