100 citations · 105 across the 6 of their papers we have counts for
10 papers · 1 filter
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
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…
A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
Pramuditha Perera, Vishal Patel
One-class recognition is traditionally approached either as a representation learning problem or a feature modeling problem. In this work, we argue that both of these approaches ha…
One-Class Classification: A Survey
Pramuditha Perera, Poojan Oza, Vishal M. Patel
One-Class Classification (OCC) is a special case of multi-class classification, where data observed during training is from a single positive class. The goal of OCC is to learn a r…
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…