20 citations · 42 across the 12 of their papers we have counts for
3 papers · 1 filter
SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
Akhil Singampalli, Danish Gufran, Sudeep Pasricha
Machine learning (ML) based indoor localization solutions are critical for many emerging applications, yet their efficacy is often compromised by hardware/software variations acros…
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks
Danish Gufran, Pooja Anandathirtha, Sudeep Pasricha
With the increasing demand for edge device powered location-based services in indoor environments, Wi-Fi received signal strength (RSS) fingerprinting has become popular, given the…
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Indoor localization is a critical task in many embedded applications, such as asset tracking, emergency response, and realtime navigation. In this article, we propose a novel finge…