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PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy

Feb 14, 2020
Vahid Mirjalili, Sebastian Raschka, Arun Ross

* 13 pages, 9 figures 

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Some Research Problems in Biometrics: The Future Beckons

May 12, 2019
Arun Ross, Sudipta Banerjee, Cunjian Chen, Anurag Chowdhury, Vahid Mirjalili, Renu Sharma, Thomas Swearingen, Shivangi Yadav

* 8 pages, 12 figures, ICB-2019 

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FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers

May 03, 2019
Vahid Mirjalili, Sebastian Raschka, Arun Ross

* 11 pages, 8 figures, 3 and 2 supplementary pages 

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ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data

Apr 16, 2019
Taban Eslami, Vahid Mirjalili, Alvis Fong, Angela Laird, Fahad Saeed

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Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks

Jan 24, 2019
Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka

* v2: changed title from "Rank Consistent Logits..." to "Consistent Rank Logits..." 

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Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition

Aug 31, 2018
Sudipta Banerjee, Vahid Mirjalili, Arun Ross

* 8 pages 

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Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers

Jul 31, 2018
Vahid Mirjalili, Sebastian Raschka, Arun Ross

* Published in Proc. of IEEE 9th International Conference on Biometrics: Theory, Applications and Systems (BTAS), (Los Angeles, CA), October 2018 

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Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

May 03, 2018
Vahid Mirjalili, Sebastian Raschka, Anoop Namboodiri, Arun Ross

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