most citedGet your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

36 citations · 69 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022★ 30 cited

Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Shah Zeb, Aamir Mahmood, Sunder Ali Khowaja +5

Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry 4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches…

cs.NI2022

IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4

In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…

cs.CR2022★ 36 cited

Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

Sunder Ali Khowaja, Ik Hyun Lee, Kapal Dev +2

The past decade has seen a rapid adoption of Artificial Intelligence (AI), specifically the deep learning networks, in Internet of Medical Things (IoMT) ecosystem. However, it has…

eess.IV2021

Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform

Fayaz Ali Dharejo, Muhammad Zawish, Farah Deeba Yuanchun Zhou +3

Deep learning based single image super resolution (SISR) algorithms has revolutionized the overall diagnosis framework by continually improving the architectural components and tra…

cs.CR2021★ 3 cited

Towards Industrial Private AI: A two-tier framework for data and model security

Sunder Ali Khowaja, Kapal Dev, Nawab Muhammad Faseeh Qureshi +2

With the advances in 5G and IoT devices, the industries are vastly adopting artificial intelligence (AI) techniques for improving classification and prediction-based services. Howe…