Author

Deiqing Zou

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Open access Aug 2026

Semantically-Equivalent Transformations-Based Backdoor Attacks against Neural Code Models: Characterization and Mitigation

Semantically-Equivalent Transformation (SET)-based backdoor attacks are introduced, a new class of attacks that use semantics-preserving low-prevalence code transformations to generate stealthy triggers and are proposed as a framework for constructing and prioritizing such triggers.

Junyao Ye, Zhen Li, Xi Tang et al. · ACM Transactions on Software... · 0 citations