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20172024
most citedPrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy

142 citations · 223 across the 30 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

eess.AS2022

Is Style All You Need? Dependencies Between Emotion and GST-based Speaker Recognition

Morgan Sandler, Arun Ross

In this work, we study the hypothesis that speaker identity embeddings extracted from speech samples may be used for detection and classification of emotion. In particular, we show…

cs.CV2022

Can GAN-induced Attribute Manipulations Impact Face Recognition?

Sudipta Banerjee, Aditi Aggarwal, Arun Ross

Impact due to demographic factors such as age, sex, race, etc., has been studied extensively in automated face recognition systems. However, the impact of \textit{digitally modifie…

cs.CV2022★ 1 cited

Facial De-morphing: Extracting Component Faces from a Single Morph

Sudipta Banerjee, Prateek Jaiswal, Arun Ross

A face morph is created by strategically combining two or more face images corresponding to multiple identities. The intention is for the morphed image to match with multiple ident…

cs.CV2022

HEFT: Homomorphically Encrypted Fusion of Biometric Templates

Luke Sperling, Nalini Ratha, Arun Ross +1

This paper proposes a non-interactive end-to-end solution for secure fusion and matching of biometric templates using fully homomorphic encryption (FHE). Given a pair of encrypted…

cs.CV2022★ 15 cited

Causality-Inspired Taxonomy for Explainable Artificial Intelligence

Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto +4

As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be c…

cs.CV2022★ 1 cited

Periocular Biometrics and its Relevance to Partially Masked Faces: A Survey

Renu Sharma, Arun Ross

The performance of face recognition systems can be negatively impacted in the presence of masks and other types of facial coverings that have become prevalent due to the COVID-19 p…