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cs.CR2025
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
Muqi Zou, Hongyu Cai, Hongwei Wu +9
As one of the key tools in many security tasks, decompilers reconstruct human-readable source code from binaries. Yet, despite recent advances, their outputs often suffer from synt…
cs.CR2025
LM-Scout: Analyzing the Security of Language Model Integration in Android Apps
Muhammad Ibrahim, Gűliz Seray Tuncay, Z. Berkay Celik +2
Developers are increasingly integrating Language Models (LMs) into their mobile apps to provide features such as chat-based assistants. To prevent LM misuse, they impose various re…