Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Samita Bai

Samita Bai

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×2

Frequent co-authors

Hamed Jelodar2×
Tochukwu Emmanuel Nwankwo2×
Parisa Hamedi2×
Mohammad Meymani2×
Roozbeh Razavi-Far2×
Ali A. Ghorbani2×

Research Timeline

2026
Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models

The paper proposes a zero-label malware family classification framework that uses a weighted hierarchical ensemble of large language models (LLMs) to classify malware without requiring labeled training data.

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering

The paper introduces LLM4CodeRE, a domain-adaptive LLM framework that significantly improves bidirectional code reverse engineering by unifying assembly-to-source and source-to-assembly translation.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentApr 7, 2026

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering

Hamed Jelodar, Samita Bai, Tochukwu Emmanuel Nwankwo, Parisa Hamedi +3 more

The paper introduces LLM4CodeRE, a domain-adaptive LLM framework that significantly improves bidirectional code reverse engineering by unifying assembly-to-source and source-to-assembly translation.

View →
cs.CRcs.AIRecentApr 2, 2026

Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models

Samita Bai, Hamed Jelodar, Tochukwu Emmanuel Nwankwo, Parisa Hamedi +3 more

The paper proposes a zero-label malware family classification framework that uses a weighted hierarchical ensemble of large language models (LLMs) to classify malware without requiring labeled trainin…

View →