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20162026
most citedMOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

115 citations · 369 across the 19 of their papers we have counts for

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Showing 2016Show all

8 papers · 1 filter

cs.CV2016

Towards Robust Deep Neural Networks with BANG

Andras Rozsa, Manuel Gunther, Terrance E. Boult

Machine learning models, including state-of-the-art deep neural networks, are vulnerable to small perturbations that cause unexpected classification errors. This unexpected lack of…

cs.CV2016★ 56 cited

Are Accuracy and Robustness Correlated?

Andras Rozsa, Manuel Günther, Terrance E. Boult

Machine learning models are vulnerable to adversarial examples formed by applying small carefully chosen perturbations to inputs that cause unexpected classification errors. In thi…

cs.CV2016

LOTS about Attacking Deep Features

Andras Rozsa, Manuel Günther, Terrance E. Boult

Deep neural networks provide state-of-the-art performance on various tasks and are, therefore, widely used in real world applications. DNNs are becoming frequently utilized in biom…

cs.CV2016★ 1 cited

AFFACT - Alignment-Free Facial Attribute Classification Technique

Manuel Günther, Andras Rozsa, Terrance E. Boult

Facial attributes are soft-biometrics that allow limiting the search space, e.g., by rejecting identities with non-matching facial characteristics such as nose sizes or eyebrow sha…

cs.CV2016

PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses

Ethan M. Rudd, Manuel Gunther, Terrance E. Boult

For applications such as airport border control, biometric technologies that can process many capture subjects quickly, efficiently, with weak supervision, and with minimal discomf…

cs.CV2016

Are Facial Attributes Adversarially Robust?

Andras Rozsa, Manuel Günther, Ethan M. Rudd +1

Facial attributes are emerging soft biometrics that have the potential to reject non-matches, for example, based on mismatching gender. To be usable in stand-alone systems, facial…

cs.CV2016★ 115 cited

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

Ethan Rudd, Manuel Günther, Terrance Boult

Attribute recognition, particularly facial, extracts many labels for each image. While some multi-task vision problems can be decomposed into separate tasks and stages, e.g., train…

cs.CR2016

A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions

Ethan M. Rudd, Andras Rozsa, Manuel Günther +1

As our professional, social, and financial existences become increasingly digitized and as our government, healthcare, and military infrastructures rely more on computer technologi…