RACER is presented, a model-level repair framework motivated by a key observation: backdoors induce abnormal layer-to-layer evolution in internal representations, which is modality-dependent, concentrating primarily in the token region encoding the trigger features that the backdoor model actually relies on.
Jia-Li Wei, Ming Fan, Ming-Kun Zhang et al.· arXiv.org· 0 citations
Program migration, which involves translating software systems from one programming language to another, is essential for modernizing legacy systems and improving maintainability. Recent large language models (LLMs) have demonstrated strong performance in code translation; however, existing methods and benchmarks still...
Xi-Tao Li, Xiao-Fei Xie, Jiang Wu et al.· Proceedings of the ACM on Pr...· 0 citations
GraphAHA is proposed, an adaptive graph search method with heterogeneous actions that organizes the test-time code generation in a typed directed acyclic graph and outperforms the strongest baseline for both models on both benchmarks by 4.1 percentage points on average.
Xi-Tao Li, Hai-Jun Wang, Ge-Ge Yuan et al.· 0 citations
Standardized token contracts (e.g., ERC-20) form the foundation of digital assets. However, attackers increasingly abuse this standardization to disguise malicious trap tokens. Unlike obvious violations, these contracts employ a strategy of"deceptive adherence": they strictly adhere to standard protocols to evade detec...
Yin Wu, Yi-Xuan Liu, Yi Li et al.· arXiv.org· 1 citation
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