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