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Home/Authors/Mohd Ruhul Ameen

Mohd Ruhul Ameen

2 indexed papers

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

Publications per year

2
26

Top categories

Crypto×2Software Eng.×1

Frequent co-authors

Md Takrim Ul Alam2×
Akif Islam2×
Abu Saleh Musa Miah1×
Jungpil Shin1×

Research Timeline

2026
Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems

The paper introduces Prompt Control-Flow Integrity (PCFI), a priority-aware runtime defense that models LLM prompts as structured segments to intercept prompt injection attacks with high accuracy and minimal overhead.

QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing

QASecClaw, a multi-agent LLM system, significantly improves the accuracy of Static Application Security Testing (SAST) by using specialized LLM agents to filter out false positives, achieving an F1 score of 90.93% on the OWASP Benchmark.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.SERecentMay 3, 2026

QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing

Mohd Ruhul Ameen, Md Takrim Ul Alam, Akif Islam

QASecClaw, a multi-agent LLM system, significantly improves the accuracy of Static Application Security Testing (SAST) by using specialized LLM agents to filter out false positives, achieving an F1 sc…

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cs.CRRecentMar 19, 2026

Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems

Md Takrim Ul Alam, Akif Islam, Mohd Ruhul Ameen, Abu Saleh Musa Miah +1 more

The paper introduces Prompt Control-Flow Integrity (PCFI), a priority-aware runtime defense that models LLM prompts as structured segments to intercept prompt injection attacks with high accuracy and…

View →