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Privacy and Integrity Preserving Computations with CRISP

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User Guidance for Efficient Fact Checking

Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

The Web constitutes a valuable source of information. In recent years, it fostered the construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia. The open nature of the Web, with content potentially being generated by everyone, howev ...

ASSOC COMPUTING MACHINERY2019

Identification of the Inspection Specifications for Achieving Zero Defect Manufacturing

The contemporary manufacturing landscape is characterized by increased volatility shortened product life cycles and increased degree of product customization. Manufacturing companies are continuously facing the challenge of operating their manufacturing pr ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Generating Artificial Data for Private Deep Learning

Boi Faltings, Aleksei Triastcyn

In this paper, we propose generating artificial data that retain statistical properties of real data as the means of providing privacy for the original dataset. We use generative adversarial networks to draw privacy-preserving artificial data samples and d ...

2019

Federated Generative Privacy

Boi Faltings, Aleksei Triastcyn

In this paper, we propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw privacy-preserving artificial ...

2019

Characterizing and Improving Stability in Neural Style Transfer

Alexandre Massoud Alahi, Agrim Gupta

Recent progress in style transfer on images has focused on improving the quality of stylized images and speed of methods. However, real-time methods are highly unstable resulting in visible flickering when applied to videos. In this work we characterize th ...

2017

Measuring quality of omnidirectional high dynamic range content

Touradj Ebrahimi, Anne-Flore Nicole Marie Perrin

Although HDR content processing, coding and quality assessment have been largely addressed in the last few years, little to no work has been concentrating on how to assess quality in HDR for 360 or omnidirectional content. This paper is an attempt to answe ...

Spie-Int Soc Optical Engineering2017

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia, Carlos Castillo

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

Mohammad Hamed Izadi

Degradation in data quality is still a main source of errors in the modern biometric recognition systems. However, the data quality can be embedded in the recognition methods at global and local levels to build more accurate biometric systems. Local qualit ...

EPFL2016

Optimizing Information Leakage in Multicloud Storage Services

Karl Aberer, Rameez Rahman, Hao Zhuang

Many schemes have been recently advanced for storing data on multiple clouds. Distributing data over multiple cloud storage providers automatically provides users with a certain degree of information leakage control, for no single point of attack can leak ...

2016

Crowdsourcing Microdata for Cost-Effective and Reliable Lexicography

Martin Benjamin

Lexicography has long faced the challenge of having too few specialists to document too many words in too many languages with too many linguistic features. Great dictionaries are invariably the product of many person-years of labor, whether the lifetime wo ...

2015