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Han-Mo You

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Enhancing Code Model Robustness Against Identifier Renaming via Unified Code Normalization

UniCode, a novel two-stage defense framework against identifier renaming, is proposed, one of the most effective modifications influencing DCMs’ robustness, and effectively aligns the distributions between the training data and the adversarial test samples, thereby significantly enhancing model robustness.

Jia-Jun Jiang, Song-Rui Li, Han-Mo You et al. · 0 citations
Jul 2026

Evaluating Fuzz Testing for Reinforcement Learning Agents

It is shown that fuzzing-generated crashes can meaningfully improve agent robustness and enable accurate safety monitoring with strong cross-method generalization, and the benefits of combining complementary fuzzing strategies and adopting multi-level diversity analysis to achieve more comprehensive and practical RL te...

Zhibin Kang, Hanmo You, Dong Wang et al. · 0 citations

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