2 papers
cs.SE2026
Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK Versions
Mohammad Arif Rasyidi, Syahirul Faiz
Large language models can generate plausible quantum code, but it is unclear whether they can reliably target the specific software development kit (SDK) version requested by the u…
cs.LG2026
Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
Mohammad Arif Rasyidi, Omar Alhussein, Sami Muhaidat +1
Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluat…