3 citations · 5 across the 22 of their papers we have counts for
3 papers · 1 filter
QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing
Mohd Ruhul Ameen, Md Takrim Ul Alam, Akif Islam
Static Application Security Testing tools help developers find security vulnerabilities before release, but they often produce many false positives. This increases manual review ef…
Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems
Md Takrim Ul Alam, Akif Islam, Mohd Ruhul Ameen +2
Large language models (LLMs) deployed behind APIs and retrieval-augmented generation (RAG) stacks are vulnerable to prompt injection attacks that may override system policies, subv…
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
S M Asif Hossain, Ruksat Khan Shayoni, Mohd Ruhul Ameen +3
Prompt injection attacks represent a major vulnerability in Large Language Model (LLM) deployments, where malicious instructions embedded in user inputs can override system prompts…