CyberMaskQA is a new privacy-aware QA benchmark for cybersecurity that annotates private entities in realistic organizational scenarios with causal dependencies to jointly evaluate reasoning accuracy and masking performance.
Aqua-llm: Evaluating accuracy, quantization, and adversarial robustness trade-offs in llms for cybersecurity question answering,
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CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering
CyberMaskQA is a new privacy-aware QA benchmark for cybersecurity that annotates private entities in realistic organizational scenarios with causal dependencies to jointly evaluate reasoning accuracy and masking performance.