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Home/Authors/Alsharif Abuadbba

Alsharif Abuadbba

2 indexed papers

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

Publications per year

2
26

Top categories

Crypto×2AI×1

Frequent co-authors

William Guanting Li1×
Kristen Moore1×
Dan Dongseong Kim1×
Nguyen Linh Bao Nguyen1×
Wanlun Ma1×
Viet Vo1×

Research Timeline

2026
Five Queries Are Enough: Query-Efficient and Surrogate-Free Membership Inference Attacks on RAG via Entailment

The paper introduces MEntA, a highly query-efficient and surrogate-free membership inference attack that uses natural-language entailment to detect if a specific document was used by a RAG system, achieving high accuracy with only five queries.

APT-Agent: Automated Penetration Testing using Large Language Models

The paper introduces APT-Agent, an automated LLM-driven framework that significantly improves penetration testing success rates by mitigating LLM hallucinations and maintaining long-term operational context.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentMay 24, 2026

APT-Agent: Automated Penetration Testing using Large Language Models

William Guanting Li, Alsharif Abuadbba, Kristen Moore, Dan Dongseong Kim

The paper introduces APT-Agent, an automated LLM-driven framework that significantly improves penetration testing success rates by mitigating LLM hallucinations and maintaining long-term operational c…

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cs.CRRecentMay 23, 2026

Five Queries Are Enough: Query-Efficient and Surrogate-Free Membership Inference Attacks on RAG via Entailment

Nguyen Linh Bao Nguyen, Wanlun Ma, Viet Vo, Alsharif Abuadbba +3 more

The paper introduces MEntA, a highly query-efficient and surrogate-free membership inference attack that uses natural-language entailment to detect if a specific document was used by a RAG system, ach…

View →