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From the 1 of 22 linked papers with an AI index.

collaborators

22 papers

cs.SD2026

When Audio Separation Hurts Zero-Shot ASR: Evaluating SAM-Audio with Whisper on Bengali and English Speech

Akif Islam, Raufun Nahar, Md. Ekramul Hamid

The paper investigates whether applying the SAM-Audio denoising front‑end improves zero‑shot transcription with OpenAI Whisper on noisy Bengali and English speech, and finds that d…

cs.CL2026

Chainwash: Multi-Step Rewriting Attacks on Diffusion Language Model Watermarks

Mohd Ruhul Ameen, Akif Islam, Nadim Mahmud +1

Statistical watermarking is a common approach for verifying whether text was written by a language model. Most existing schemes assume autoregressive generation, where tokens are p…

cs.CR2026

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…

cs.CL2026

Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints

Md. Fahad Ullah Utsho, Mohd. Ruhul Ameen, Akif Islam +2

Large Language Models (LLMs) are increasingly described as possessing strong reasoning capabilities, supported by high performance on mathematical, logical, and planning benchmarks…

cs.HC2026

Beyond Ray-Casting: Evaluating Controller, Free-Hand, and Virtual-Touch Modalities for Immersive Text Entry

Md. Tanvir Hossain, Mohd Ruhul Ameen, Akif Islam +5

Efficient text entry remains a primary bottleneck preventing Virtual Reality (VR) from evolving into a viable productivity platform. To address this, we conducted an empirical comp…

cs.CR2026

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…