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Abdeltawab M. Hendawi

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#artificial intelligence Conference Open access Jun 2026

Bytes to Threats: Byte-Sequence Transformer For Malware Detection

MalwareFormer is presented, a transformer-based, byte-level malware detection framework that operates directly on raw bytes, without requiring domain knowledge or feature extraction, demonstrating that transformers provide a powerful and scalable approach for byte-level malware detection.

A. el-Jamal, Abdeltawab M. Hendawi · 0 citations
Conference Jun 2026

ShrinkLLM: Automated LLM Compression via AI Agents

Deploying large language models in resource-constrained environments such as mobile devices requires effective compression. Pruning and quantization are largely used, yet applying pruning to a new model typically demands manual inspection of its architecture to identify layer names, MLP structure, and projection patter...

Gyanko Issah Yussif, Tasnia Sultana, Mohamed Ali et al. · 0 citations

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