Search Results for author: Vahid Mirjalili

Found 8 papers, 3 papers with code

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

no code implementations2 Jan 2020 Vahid Mirjalili, Sebastian Raschka, Arun Ross

Further, PrivacyNet allows a person to choose specific attributes that have to be obfuscated in the input face images (e. g., age and race), while allowing for other types of attributes to be extracted (e. g., gender).

Attribute

Some Research Problems in Biometrics: The Future Beckons

no code implementations12 May 2019 Arun Ross, Sudipta Banerjee, Cunjian Chen, Anurag Chowdhury, Vahid Mirjalili, Renu Sharma, Thomas Swearingen, Shivangi Yadav

The need for reliably determining the identity of a person is critical in a number of different domains ranging from personal smartphones to border security; from autonomous vehicles to e-voting; from tracking child vaccinations to preventing human trafficking; from crime scene investigation to personalization of customer service.

Autonomous Vehicles

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

no code implementations3 May 2019 Vahid Mirjalili, Sebastian Raschka, Arun Ross

In this regard, Semi-Adversarial Networks (SAN) have recently emerged as a method for imparting soft-biometric privacy to face images.

Attribute

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

1 code implementation16 Apr 2019 Taban Eslami, Vahid Mirjalili, Alvis Fong, Angela Laird, Fahad Saeed

The proposed approach is evaluated on a public dataset provided by Autism Brain Imaging Data Exchange including 1035 subjects coming from 17 different brain imaging centers.

BIG-bench Machine Learning Data Augmentation

Rank consistent ordinal regression for neural networks with application to age estimation

4 code implementations20 Jan 2019 Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka

In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy.

Age And Gender Classification Age Estimation +4

Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition

no code implementations31 Aug 2018 Sudipta Banerjee, Vahid Mirjalili, Arun Ross

The principle of Photo Response Non-Uniformity (PRNU) is used to link an image with its source, i. e., the sensor that produced it.

Iris Recognition

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

1 code implementation1 Dec 2017 Vahid Mirjalili, Sebastian Raschka, Anoop Namboodiri, Arun Ross

In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject.

Face Recognition Gender Classification

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