5 citations · 5 across the 3 of their papers we have counts for
6 papers
Open-set Adversarial Defense
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of open-set recognition is to identify s…
Anomaly Detection-Based Unknown Face Presentation Attack Detection
Yashasvi Baweja, Poojan Oza, Pramuditha Perera +1
Anomaly detection-based spoof attack detection is a recent development in face Presentation Attack Detection (fPAD), where a spoof detector is learned using only non-attacked image…
Quickest Intruder Detection for Multiple User Active Authentication
Pramuditha Perera, Julian Fierrez, Vishal M. Patel
In this paper, we investigate how to detect intruders with low latency for Active Authentication (AA) systems with multiple-users. We extend the Quickest Change Detection (QCD) fra…
Federated Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be…
Deep Transfer Learning for Multiple Class Novelty Detection
Pramuditha Perera, Vishal M. Patel
We propose a transfer learning-based solution for the problem of multiple class novelty detection. In particular, we propose an end-to-end deep-learning based approach in which we…
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
Pramuditha Perera, Mahdi Abavisani, Vishal M. Patel
In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images. In this paper, we p…