Point clouds provide a compact and efficient representation of 3D shapes. While deep
neural networks have achieved impressive results on point cloud learning tasks, they …

Embodiments provide methods and systems for image generation through use of
adversarial networks. An embodiment trains an image generator comprising (i) a generator …

In one embodiment, a set of feature vectors can be derived from any biometric data, and
then using a deep neural network (“DNN”) on those one-way homomorphic encryp tions (ie …

(57) ABSTRACT A set of distance measurable encrypted feature vectors can be derived from
any biometric data and/or physical or logical user behavioral data, and then using an …

In one embodiment, a set of feature vectors can be derived from any biometric data, and
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …

Abstract Systems and methods of authorizing access to access-controlled environments are
provided. In one example, a method includes receiving, passively by a computing device …

In one embodiment, a set of feature vectors can be derived from any biometric data, and
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …

We propose a learning based method for generating new animations of a cartoon character
given a few example images. Our method is designed to learn from a traditional animation …

We propose a novel approach for generating unrestricted adversarial examples by
manipulating fine-grained aspects of image generation. Unlike existing unrestricted attacks …

A set of distance measurable encrypted feature vectors can be derived from any biometric
data and/or physical or logical user behavioral data, and then using an associated deep …