Mathieu Sinn

According to our database, Mathieu Sinn authored at least 43 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach.

Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger

CoRR, 2022

The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models.

Ambrish Rawat, Killian Levacher, Mathieu Sinn

Proceedings of the Computer Security - ESORICS 2022, 2022

DLPFS: The Data Leakage Prevention FileSystem.

Stefano Braghin, Marco Simioni, Mathieu Sinn

Proceedings of the Applied Cryptography and Network Security Workshops, 2022

2021

Certified Federated Adversarial Training.

Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin

CoRR, 2021

Automated Robustness with Adversarial Training as a Post-Processing Step.

Ambrish Rawat, Mathieu Sinn, Beat Buesser

CoRR, 2021

The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks.

Ambrish Rawat, Killian Levacher, Mathieu Sinn

CoRR, 2021

Accountable Federated Machine Learning in Government: Engineering and Management Insights.

Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri

Proceedings of the Electronic Participation - 13th IFIP WG 8.5 International Conference, 2021

2020

FAT: Federated Adversarial Training.

Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser

CoRR, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

CoRR, 2020

2019

Exploring the Hyperparameter Landscape of Adversarial Robustness.

Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy

CoRR, 2019

2018

Adversarial Robustness Toolbox v0.2.2.

Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards

CoRR, 2018

Automated Image Data Preprocessing with Deep Reinforcement Learning.

Tran Ngoc Minh, Mathieu Sinn, Hoang Thanh Lam, Martin Wistuba

CoRR, 2018

Learning Correlation Space for Time Series.

Han Qiu, Hoang Thanh Lam, Francesco Fusco, Mathieu Sinn

CoRR, 2018

Learning Features For Relational Data.

Hoang Thanh Lam, Tran Ngoc Minh, Mathieu Sinn, Beat Buesser, Martin Wistuba

CoRR, 2018

Castor: Contextual IoT Time Series Data and Model Management at Scale.

Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training.

Mathieu Sinn, Ambrish Rawat

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Multitask Additive Models With Shared Transfer Functions Based on Dictionary Learning.

Alhussein Fawzi, Mathieu Sinn, Pascal Frossard

IEEE Trans. Signal Process., 2017

One button machine for automating feature engineering in relational databases.

Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan

CoRR, 2017

Cross-correlations of zero crossings in jointly Gaussian and stationary processes with zero means.

Magnus Mossberg, Mathieu Sinn

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Structured Dimensionality Reduction for Additive Model Regression.

Alhussein Fawzi, Jean-Baptiste Fiot, Bei Chen, Mathieu Sinn, Pascal Frossard

IEEE Trans. Knowl. Data Eng., 2016

Managing uncertainty in electricity generation and demand forecasting.

Kevin Warren, Ron F. Ambrosio, Bei Chen, Yuhui Fu, Soumyadip Ghosh, Dzung T. Phan, Mathieu Sinn, Chunhua Tian, Chandu Visweswariah

IBM J. Res. Dev., 2016

Enabling coupled models to predict the business impact of weather on electric utilities.

Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen

IBM J. Res. Dev., 2016

Data Management System for Energy Analytics and its Application to Forecasting.

Francesco Fusco, Ulrike Fischer, Vincent P. A. Lonij, Pascal Pompey, Jean-Baptiste Fiot, Bei Chen, Yiannis Gkoufas, Mathieu Sinn

Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

2015

Multi-task additive models with shared transfer functions based on dictionary learning.

Alhussein Fawzi, Mathieu Sinn, Pascal Frossard

CoRR, 2015

Forecasting Uncertainty in Electricity Demand.

Tri Kurniawan Wijaya, Mathieu Sinn, Bei Chen

Proceedings of the Computational Sustainability, 2015

2014

Statistical Anomaly Detection in Mean and Variation of Energy Consumption.

Bei Chen, Mathieu Sinn, Joern Ploennigs, Anika Schumann

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Energy demand forecasting: industry practices and challenges.

Mathieu Sinn

Proceedings of the Fifth International Conference on Future Energy Systems, 2014

2013

Analytical results on the Beauchemin model of lymphocyte migration.

Johannes Textor, Mathieu Sinn, Rob J. De Boer

BMC Bioinform., 2013

Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots.

Bei Chen, Fabio Pinelli, Mathieu Sinn, Adi Botea, Francesco Calabrese

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Integrated state estimation and load modelling for distribution grids with ampere measurements.

Francesco Fusco, Mathieu Sinn

Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters.

Carlos Alzate, Mathieu Sinn

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

The effect of feedback in the assignment problem in shared bicycle systems.

Arieh Schlote, Bei Chen, Mathieu Sinn, Robert Shorten

Proceedings of the International Conference on Connected Vehicles and Expo, 2013

Central Limit Theorems for Conditional Markov Chains.

Mathieu Sinn, Bei Chen

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions.

Mathieu Sinn, Ali Ghodsi, Karsten Keller

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions.

Mathieu Sinn, Bei Chen

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting.

Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Predicting arrival times of buses using real-time GPS measurements.

Mathieu Sinn, Ji Won Yoon, Francesco Calabrese, Eric Bouillet

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011

Asymptotic Theory for Linear-Chain Conditional Random Fields.

Mathieu Sinn, Pascal Poupart

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments.

Mathieu Sinn, Karsten Keller

Comput. Stat. Data Anal., 2011

Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers.

Mathieu Sinn, Pascal Poupart

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Smart walkers!: enhancing the mobility of the elderly.

Mathieu Sinn, Pascal Poupart

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Ambulatory Assessment of Lifestyle Factors for Alzheimer's Disease and Related Dementias.

James Yungjen Tung, Jonathan F. L. Semple, Wei X. Woo, Wei-Shou Hsu, Mathieu Sinn, Eric A. Roy, Pascal Poupart

Proceedings of the Computational Physiology, 2011

2010

Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker.

Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Yungjen Tung, Allen Caine

Proceedings of the UAI 2010, 2010