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20232026
most citedOne Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

6 citations · 7 across the 6 of their papers we have counts for

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cs.AI2026

On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment

Yongjian Guo, Wanlun Ma, Lingyu Shen +2

Fine-tuning is the dominant paradigm for specializing large language models (LLMs), yet it exposes a critical vulnerability: malicious data providers can embed harmful behaviors in…