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SecureML: A System for Scalable Privacy-Preserving Machine Learning
Privacy-preserving machine learning secure computation
2017/5/11
Machine learning is widely used in practice to produce predictive models for applications such as image processing, speech and text recognition. These models are more accurate when trained on large am...
Privacy-Preserving Multi-Party Bartering Secure Against Active Adversaries
cryptographic protocols colluding parties
2017/5/2
A majority of electronic bartering transactions is carried out via online platforms. Typically, these platforms require users to disclose sensitive information about their trade capabilities which mig...
Round-Preserving Parallel Composition of Probabilistic-Termination Cryptographic Protocols
secure multi-party computation parallel composition broadcast
2017/4/27
An important benchmark for multi-party computation protocols (MPC) is their round complexity. For several important MPC tasks, (tight) lower bounds on the round complexity are known. However, for some...
Labeled Homomorphic Encryption: Scalable and Privacy-Preserving Processing of Outsourced Data
homomorphic encryption privacy-preserving computation privacy-preserving statistics
2017/4/19
We consider the problem of privacy-preserving processing of outsourced data, where a Cloud server stores data provided by one or multiple data providers and then is asked to compute several functions ...
Privacy-Preserving Linear Regression on Distributed Data
Distributed Data efficient cryptographic tools
2017/4/19
Linear regression is an important statistical tool that models the relationship between some explanatory values and an outcome value using a linear function. In many current applications (e.g. predict...
Practical Secure Aggregation for Privacy Preserving Machine Learning
Privacy Preserving Machine Learning cryptographic protocols
2017/3/31
We design a novel, communication-efficient, failure-robust protocol for secure aggregation of high-dimensional data. Our protocol allows a server to compute the sum of large, user-held data vectors fr...
Improved Hybrid Consensus Scheme with Privacy-preserving Property
Block chain Proof-of-work Consensus
2017/3/6
Proof-of-work-based consensus, adopted in Bitcoin, has already drawn much attention from cryptocurrency and block chain commu- nity. Despite its nice decentralization property, it has significant lim-...
Privacy-Preserving Search of Similar Patients in Genomic Data
cryptographic protocols genomic privacy
2017/2/21
The growing availability of genomic data holds great promise for advancing medicine and research, but unlocking its full potential requires adequate methods for protecting the privacy of individuals w...
Improved Structure Preserving Signatures under Standard Bilinear Assumptions
QA-NIZK SXDH MDDH
2017/2/20
We show that the recent structure-preserving signature (SPS) scheme of Kiltz, Pan and Wee [CRYPTO 2015], provably secure under the standard bilinear pairings group assumption SXDH, can be improved to ...
Neural Networks (NN) are today increasingly used in Machine Learning where they have become deeper and deeper to accurately model or classify high-level abstractions of data. Their development however...
Reducing Garbled Circuit Size While Preserving Circuit Gate Privacy
garbled circuits private function evaluation
2017/2/20
Yao's garbled circuits have been extensively used in Secure Function Evaluations (SFE). Several improvements have been proposed to improve the efficiency of garbled circuits. Kolesnikov and Schneider ...
Accumulators with Applications to Anonymity-Preserving Revocation
accumulators anonymous credentials revocation
2017/2/20
Membership revocation is essential for cryptographic applications, from traditional PKIs to group signatures and anonymous credentials. Of the various solutions for the revocation problem that have be...
Privacy-preserving Hybrid Recommender System
IMF SWHE
2016/12/12
Privacy issues in recommender systems have attracted the attention of researchers for many years. So far, a number of solutions have been proposed. Unfortunately, most of them are far from practical a...
Message-recovery attacks on Feistel-based Format Preserving Encryption
Format-preserving encryption attacks
2016/12/10
We give attacks on Feistel-based format-preserving encryption (FPE) schemes that succeed in message recovery (not merely distinguishing scheme outputs from random) when the message space is small. For...
An MPC-based Privacy-Preserving Protocol for a Local Electricity Trading Market
Secure Multiparty Computation Local Electricity Trading Market Smart Grid, Renewable Energy Source
2016/12/10
This paper proposes a decentralised and privacy-preserving local electricity trading market. The proposed market employs a bidding protocol based upon secure multiparty computations and allows users t...