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The Seventh Annual Tom Tom Founders Festival is a week-long celebration of innovators, visionaries, and artists who are shaping small cities. The Festival occurs at dozens of venues throughout downtown Charlottesville. 

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Thursday, April 12 • 4:35pm - 5:05pm
Imparting Privacy to Face Images: Designing Semi-Adversarial Neural Networks for Multi-Objective Optimization Tasks Now Open

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This talk introduces and discusses a neural network architecture involving a convolutional autoencoder subnetwork capable of perturbing input data such that multiple objectives are optimized. In particular, the proposed architecture is applied to an important challenge in the field of biometrics: protecting privacy in face images while retaining the face recognition utility of biometric identification and verification systems. This novel optimization scheme, semi-adversarial training, is facilitated by a submodule consisting of an auxiliary gender-classifier and an auxiliary face matcher such that an objective function with three terms can be utilized for training: (1) to confound gender attributes of face images, (2) to ensure that the perturbed face images look realistic, and (3), to ensure that biometric face recognition performance is not substantially impacted. Extensive experiments confirm that the resulting model generalizes to multiple, independent face image databases as well as different gender classification and face matching software, showing that the proposed architecture comprises state-of-the-art performance for extending gender privacy to face images. Further, methods for extending this architecture to multiple soft biometric attributes are discussed as well as methods for improving the performance and interpretability of semi-adversarial neural network models.

avatar for Sebastian Raschka

Sebastian Raschka

Research, Michigan State University
Sebastian Raschka is a researcher at Michigan State University and Assistant Professor of Statistics at University of Wisconsin-Madison (starting in summer 2018) who develops new methods in computational biology as well as deep learning architectures to solve problems in the field... Read More →

avatar for Capital One

Capital One

Capital One is a diversified bank that offers a broad array of financial products and service to consumers, small businesses and commercial clients. 
avatar for S&P Global

S&P Global

S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 McGraw Hill Companies) is an American publicly traded corporation headquartered in New York City. Its primary areas of business are financial information and analytics. It is the parent company of... Read More →

Thursday April 12, 2018 4:35pm - 5:05pm EDT
Violet Crown - Theater 4
  Machine Learning, Summit
  • Festival (FREE), Included in Summit Badge, or Individually Ticketed Summit