collaborators

9 papers

cs.CV2026

Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models

Abdul Basit, Ashir Rashid, Muhammad Abdullah Hanif +1

Multiple Sclerosis (MS) is a chronic autoimmune disease that can significantly reduce the quality of life of a patient. Existing treatment options can only help slow down the progr…

cs.LG2026

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif +3

This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks w…

cs.DC2026

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation

Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani +4

In this paper, we propose a scalable approximate multiplier design, scaleTRIM, that approximates the multiplication operation using fitted linear functions, also referred to as lin…

cs.CR2026

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices

Nandish Chattopadhyay, Abdul Basit, Amira Guesmi +3

Adversarial attacks pose a significant challenge to the reliable deployment of machine learning models in EdgeAI applications, such as autonomous driving and surveillance, which re…

cs.LG2025

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search

Azaz-Ur-Rehman Nasir, Samroz Ahmad Shoaib, Muhammad Abdullah Hanif +1

Hardware-aware Neural Architecture Search (NAS) is one of the most promising techniques for designing efficient Deep Neural Networks (DNNs) for resource-constrained devices. Surrog…

cs.CV2025

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems

Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Bassem Ouni +1

Advanced Driver Assistance Systems (ADAS) significantly enhance road safety by detecting potential collisions and alerting drivers. However, their reliance on expensive sensor tech…