collaborators

12 papers

cs.CR2026

Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures

Faisal Haque Bappy, Tahrim Hossain, Tarannum Shaila Zaman +3

Multi-agent LLM pipelines orchestrate multiple specialized language model agents into structured workflows where intermediate outputs are passed across agents to solve complex task…

cs.CR2026

Rollback-Free Cross-Chain Atomicity Through Forward-Only Correction

Tahrim Hossain, Faisal Haque Bappy, Tarannum Shaila Zaman +1

Blockchain platforms have grown into an ecosystem of independent networks, and a growing class of applications now requires smart contracts on separate chains to act as one. Such o…

cs.CR2026

Towards Secure and Trustworthy DAOs for Cross-Chain Governance

Faisal Haque Bappy, Tahrim Hossain, Tarannum Shaila Zaman +1

Cross-chain DAOs face unique security challenges that go beyond traditional single-chain vulnerabilities. This paper identifies and categorizes four critical attack vectors in cros…

cs.HC2026

From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness

Faisal Haque Bappy, Tahrim Hossain, Sidratul Muntaher Meheraj +5

AI coding assistants are now central to professional software development, yet their impact on how developers think about and practice security remains poorly understood. While pri…

cs.SE2026

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback

Anika Tabassum, Md Sifat Hossain, Md. Fahim Arefin +2

Large Language Models (LLMs) demonstrate strong potential for automated code generation, yet their ability to iteratively refine solutions using execution feedback remains underexp…

cs.CR2026

SWORD: A Secure LoW-Latency Offline-First Authentication and Data Sharing Scheme for Resource Constrained Distributed Networks

Faisal Haque Bappy, Tahrim Hossain, Raiful Hasan +3

While many resource-constrained networks, such as Internet of Things (IoT) and Internet of Vehicles (IoV), are inherently distributed, the majority still rely on central servers fo…