Author

Baowen Xu

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#software testing Open access Oct 2026

Fuzzing the Boundary between Models and Code in Hybrid AI-Enabled Systems

Deep learning (DL) techniques are increasingly integrated into traditional software systems, giving rise to hybrid AI-enabled systems that combine neural models with program logic. While these systems exhibit remarkable capabilities, their complex and heterogeneous architectures pose significant challenges for reliabil...

Xin-Yu Gao, Yang Feng, Yu-Chen Lu et al. · 0 citations

Preprint Aug 2026

Breaking Customized LLMs for Coding: Automated Red Teaming for Instruction Backdoor Attacks

LLM customization platforms allow users to build task-specific models for code intelligence tasks by embedding instructions into system prompts, without modifying the underlying model parameters. While these platforms lower the barrier to developing customized LLMs, they also introduce a new attack surface: instruction...

Yuchen Chen, Wei Cheng, Yuan Xiao et al. · 0 citations