collaborators

5 papers

cs.CR2026

The Surface You Test Is Not the Surface That Breaks

Shifat E Arman, Syed Nazmus Sakib, Nafiul Haque +2

Prompt-injection benchmarks for LLM agents typically test attacks through a single injection surface and report the resulting attack success rate as a property of the model. We ask…

cs.CV2026

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry

Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin +4

Vision evaluations are typically done through multi-step processes. In most contemporary fields, experts analyze images using structured, evidence-based adaptive questioning. In pl…

cs.AI2026

Do Web Agents Investigate Before They Decide?

Syed Nazmus Sakib, Nafiul Haque, Tapodhir Karmakar Taton +2

Autonomous web agents are increasingly deployed in moderation and policy enforcement, where correct decisions often depend on evidence that is not immediately visible and must be a…

cs.CV2025

Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution

N Dinesh Reddy, Dylan Snyder, Lona Kiragu +3

We introduce Orion, a visual agent that integrates vision-based reasoning with tool-augmented execution to achieve powerful, precise, multi-step visual intelligence across images,…

cs.CV2025

SugarcaneShuffleNet: A Very Fast, Lightweight Convolutional Neural Network for Diagnosis of 15 Sugarcane Leaf Diseases

Shifat E. Arman, Hasan Muhammad Abdullah, Syed Nazmus Sakib +5

Despite progress in AI-based plant diagnostics, sugarcane farmers in low-resource regions remain vulnerable to leaf diseases due to the lack of scalable, efficient, and interpretab…