Martine De Cock | DeepAI

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∙ 03/06/2023

Privacy-Preserving Fair Item Ranking

Users worldwide access massive amounts of curated data in the form of ra...

0 Jia Ao Sun, et al. ∙

∙ 10/13/2022

Secure Multiparty Computation for Synthetic Data Generation from Distributed Data

Legal and ethical restrictions on accessing relevant data inhibit data s...

0 Mayana Pereira, et al. ∙

∙ 05/23/2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Group fairness ensures that the outcome of machine learning (ML) based d...

24 Sikha Pentyala, et al. ∙

∙ 02/08/2022

PrivFair: a Library for Privacy-Preserving Fairness Auditing

Machine learning (ML) has become prominent in applications that directly...

12 Sikha Pentyala, et al. ∙

∙ 02/05/2022

Training Differentially Private Models with Secure Multiparty Computation

We address the problem of learning a machine learning model from trainin...

0 Sikha Pentyala, et al. ∙

∙ 06/05/2021

Privacy-Preserving Training of Tree Ensembles over Continuous Data

Most existing Secure Multi-Party Computation (MPC) protocols for privacy...

0 Samuel Adams, et al. ∙

∙ 02/06/2021

Privacy-Preserving Feature Selection with Secure Multiparty Computation

Existing work on privacy-preserving machine learning with Secure Multipa...

0 Xiling Li, et al. ∙

∙ 02/06/2021

Privacy-Preserving Video Classification with Convolutional Neural Networks

Many video classification applications require access to personal data, ...

0 Sikha Pentyala, et al. ∙

∙ 07/01/2020

Private Speech Characterization with Secure Multiparty Computation

Deep learning in audio signal processing, such as human voice audio sign...

0 Kyle Bittner, et al. ∙

∙ 03/12/2020

Inline Detection of DGA Domains Using Side Information

Malware applications typically use a command and control (C C) server ...

0 Raaghavi Sivaguru, et al. ∙

∙ 02/13/2020

High Performance Logistic Regression for Privacy-Preserving Genome Analysis

In this paper, we present a secure logistic regression training protocol...

0 Martine De Cock, et al. ∙

∙ 01/05/2020

User Profiling Using Hinge-loss Markov Random Fields

A variety of approaches have been proposed to automatically infer the pr...

6 Golnoosh Farnadi, et al. ∙

∙ 07/02/2019

Protecting Privacy of Users in Brain-Computer Interface Applications

Machine learning (ML) is revolutionizing research and industry. Many ML ...

0 Anisha Agarwal, et al. ∙

∙ 06/05/2019

Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection

Classification of personal text messages has many useful applications in...

0 Martine De Cock, et al. ∙

∙ 05/03/2019

CharBot: A Simple and Effective Method for Evading DGA Classifiers

Domain generation algorithms (DGAs) are commonly leveraged by malware to...

4 Jonathan Peck, et al. ∙

∙ 08/30/2018

VirtualIdentity: Privacy-Preserving User Profiling

User profiling from user generated content (UGC) is a common practice th...

0 Sisi Wang, et al. ∙

∙ 12/16/2015

Solving stable matching problems using answer set programming

Since the introduction of the stable marriage problem (SMP) by Gale and ...

0 Sofie De Clercq, et al. ∙

∙ 11/30/2013

Characterizing and Extending Answer Set Semantics using Possibility Theory

Answer Set Programming (ASP) is a popular framework for modeling combina...

0 Kim Bauters, et al. ∙

∙ 02/28/2013

Modeling Stable Matching Problems with Answer Set Programming

The Stable Marriage Problem (SMP) is a well-known matching problem first...

0 Sofie De Clercq, et al. ∙

∙ 03/15/2012

Possibilistic Answer Set Programming Revisited

Possibilistic answer set programming (PASP) extends answer set programmi...

0 Kim Bauters, et al. ∙

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