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Privacy and Integrity Preserving Computations with CRISP

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Truthful, Transparent and Fair Data Collection Mechanisms

Naman Goel

An important prerequisite for developing trustworthy artificial intelligence is high quality data. Crowdsourcing has emerged as a popular method of data collection in the past few years. However, there is always a concern about the quality of the data thus ...

EPFL2020

Real-Time Processing and Quality Improvement of Synchrophasor Data

Mario Paolone

This paper proposes a real-time algorithm for processing and quality improvement of synchrophasor data (SD). The proposed algorithm first recovers the missing SD reported by phasor measurement units (PMUs), and performs low-rank approximation on data strea ...

2020

The potentials of additive manufacturing for mass production of electrochemical energy systems

Demetri Psaltis, Seyyed Mohammad Hosseini Hashemi, Pooria Hadikhani, Ugljesa Babic

Additive manufacturing has established itself as a popular and powerful tool in electrochemistry research and development. In this short review, we focus on the latest results in both 3D printing and electrochemistry communities that could potentially bene ...

ELSEVIER2020

TFHE: Fast Fully Homomorphic Encryption Over the Torus

This work describes a fast fully homomorphic encryption scheme over the torus (TFHE) that revisits, generalizes and improves the fully homomorphic encryption (FHE) based on GSW and its ring variants. The simplest FHE schemes consist in bootstrapped binary ...

SPRINGER2020

Planning Supply with 'Opportunity Goods' : Complementing Premium Parts with Select Discount Components

Thomas Alois Weber

In this paper, we introduce the notion of an "opportunity good" as a discount production input that may prove of satisfactory quality upon inspection and otherwise can be returned to the supplier. While in a quality-sensitive setting it is never optimal to ...

2020

Federated Generative Privacy

Boi Faltings, Aleksei Triastcyn

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 private artificial data samples and empirica ...

IEEE COMPUTER SOC2020

Quantifying Engagement with Citations on Wikipedia

Robert West, Tiziano Piccardi, Giovanni Colavizza

Wikipedia is one of the most visited sites on the Web and a common source of information for many users. As an encyclopedia, Wikipedia was not conceived as a source of original information, but as a gateway to secondary sources: according to Wikipedia's gu ...

RUSSIAN NATL PUBLIC LIBRARY SCIENCE & TECHNOLOGY2020

Quantifying Engagement with Citations on Wikipedia

Robert West, Tiziano Piccardi, Giovanni Colavizza

ASSOC COMPUTING MACHINERY2020

Effort-driven Fact Checking

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, each storing millions of facts about society in general, and specific domains, such as ...

2019

User Guidance for Efficient Fact Checking

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 ...

2019