Adversarial Optimization Scheme for Threat Detection Based on Hierarchical Oracle Supervision
This study introduces an adversarial training optimization framework that incorporates hierarchical label encoding and prompt learning, designed to enhance model robustness and generalization in threat detection.
Yiqing Luo, Mingshu He, Xiaojuan Wang
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