Author

Peilong Li

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#machine learning Preprint Oct 2026

Adversarial RL for Port-Scan Evasion: Attacker Feature Visibility in Edge-Deployed IDS

Machine learning-based intrusion detection systems (IDS) are increasingly used in resource-constrained Internet of Things (IoT) environments, yet their robustness is often evaluated against static attacks rather than adversaries that adapt to detection feedback. This paper investigates adaptive port-scan evasion agains...

Logan Andrew North, Priya Sanjay Kaluskar, Shasi Kumar Ramachandran Prabhu et al. · 0 citations

#machine learning Preprint Sep 2026

Reliable Federated TinyML Deployment for IoT Security

This work investigates combining Federated Learning with TinyML-based model compression for intrusion detection in IoT environments and preliminary results show that training stability plays a critical role in federated TinyML systems.

Younsoo Park, Seokhyoen Bae, Shasi Kumar Ramachandran Prabhu et al. · 1 citation

Conference Jul 2026

LLM Based Static Malware Analysis for Windows Portable Executables

In this work we introduce a novel application of Large Language Models (LLMs) towards the classification of malicious Windows Portable Executable (WinPE) files. Rather than fine-tuning an LLM based on the raw binary of the samples serving as the corpus, in this case we leverage our in depth knowledge of the underlying...

Timothy Miskell, Yan Luo, Peilong Li et al. · International Conference on... · 0 citations