2 papers
cs.CR2026
BGA: A noise-immune neural distillation framework for malicious signature extraction in high-entropy encrypted flows
Sheng Hong, Yixuan Huang, Weiwei Jiang +3
To mitigate attention dilution in high-entropy TLS 1.3 flows, we propose BGA, a noise-immune neural distillation framework for encrypted threat intelligence.The methodology first e…
q-bio.QM2026
TCellAlign: Cross-study T-cell Populations Alignment with Nomenclature-Guided Multi-Agent Workflow
Pengyu Xie, Rongjia Zhou, Zhilin Ou +5
Cell type standardization plays a central role in integrating biological knowledge across single-cell studies. While standardized resources (e.g., Cell Ontology, Nomenclature Frame…