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cs.SE2026
Refusing the Impossible: A Taxonomy and Benchmark for Code Hallucination in Large Language Models
Vishnu Asutosh Dasu, Ashish Kundu, Gang Tan
This paper investigates whether large language models (LLMs) for code generation can recognize a programming request that cannot be satisfied. Coding assistants are widely deployed…
cs.CR2026
PhantomCall: Evading ML Malware Detectors via Function Call Graph Perturbation
Md Ajwad Akil, Adrian Shuai Li, Imtiaz Karim +3
Prior adversarial attacks on Windows PE malware detectors target raw bytes, PE headers, or intra-function control-flow graphs, leaving the function call graph (FCG) unexplored as a…