Cédric Gouy-Pailler

According to our database, Cédric Gouy-Pailler authored at least 42 papers between 2007 and 2024.

Collaborative distances:

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

2024

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation.

Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

CoRR, 2024

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.

Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.

Fabiola Espinosa Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler

CoRR, 2023

When approximate design for fast homomorphic computation provides differential privacy guarantees.

Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

CoRR, 2023

A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy.

Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023

FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data.

Fabiola Espinoza Castellon, Deepika Singh, Aurélien Mayoue, Cédric Gouy-Pailler

Proceedings of the 5th IEEE International Conference on Trust, 2023

Combining homomorphic encryption and differential privacy in federated learning.

Arnaud Grivet Sébert, Marina Checri, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

2022

On the robustness of randomized classifiers to adversarial examples.

Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

Mach. Learn., 2022

Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping.

Pierre-Emmanuel Clet, Martin Zuber, Aymen Boudguiga, Renaud Sirdey, Cédric Gouy-Pailler

IACR Cryptol. ePrint Arch., 2022

Protecting Data from all Parties: Combining FHE and DP in Federated Learning.

Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan, Cédric Gouy-Pailler

CoRR, 2022

Federated learning with incremental clustering for heterogeneous data.

Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler

Proceedings of the International Joint Conference on Neural Networks, 2022

SecTL: Secure and Verifiable Transfer Learning-based inference.

Abbass Madi, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

2021

SPEED: secure, PrivatE, and efficient deep learning.

Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey

Mach. Learn., 2021

2020

Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning.

Mohammad Alshaer, Sandra Garcia-Rodriguez, Cédric Gouy-Pailler

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

STREAMER: A Powerful Framework for Continuous Learning in Data Streams.

Sandra Garcia-Rodriguez, Mohammad Alshaer, Cédric Gouy-Pailler

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A unified view on differential privacy and robustness to adversarial examples.

Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.

Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization.

Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

On the Needs for Rotations in Hypercubic Quantization Hashing.

Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2018

Graph-based Clustering under Differential Privacy.

Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Graph sketching-based Space-efficient Data Clustering.

Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization.

Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Privacy-Preserving Tax Calculations in Smart Cities by Means of Inner-Product Functional Encryption.

Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler, Pierre Blanchart, Amira Ben Hamida, Mohamed-Haykel Zayani

Proceedings of the 2nd Cyber Security in Networking Conference, 2018

2017

Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.

Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif

Signal Process., 2017

Graph sketching-based Massive Data Clustering.

Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2017

WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis.

Pierre Blanchart, Cédric Gouy-Pailler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structured adaptive and random spinners for fast machine learning computations.

Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series.

Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard

IEEE Trans. Signal Process., 2016

TripleSpin - a generic compact paradigm for fast machine learning computations.

Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif

CoRR, 2016

2014

Rank-based multiple change-point detection in multivariate time series.

Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Multivariate Temporal Dictionary Learning for EEG

Quentin Barthélemy, Cédric Gouy-Pailler, Yoann Isaac, Antoine Souloumiac, Anthony Larue, Jérôme I. Mars

CoRR, 2013

Multi-scale test procedure for non-stationarity in short and long memory time series.

Olaf Kouamo, Cédric Gouy-Pailler

Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-dimensional sparse structured signal approximation using split bregman iterations.

Yoann Isaac, Quentin Barthélemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag

Proceedings of the IEEE International Conference on Acoustics, 2013

Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing.

Boujemaa Ait-El-Fquih, Cédric Gouy-Pailler

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

From neuronal cost-based metrics towards sparse coded signals classification.

Anthony Mouraud, Quentin Barthélemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise.

Cédric Gouy-Pailler, Michèle Sebag, Anthony Larue, Antoine Souloumiac

Int. J. Imaging Syst. Technol., 2011

2010

Nonstationary Brain Source Separation for Multiclass Motor Imagery.

Cédric Gouy-Pailler, Marco Congedo, Clemens Brunner, Christian Jutten, Gert Pfurtscheller

IEEE Trans. Biomed. Eng., 2010

2009

Vers une modélisation dynamique de l'activité cérébrale pour la conception d'interfaces cerveau-machines asynchrones. (Toward dynamical models of brain activity for the design of brain-computer interfaces).

Cédric Gouy-Pailler

PhD thesis, 2009

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings.

Cédric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics.

Cédric Gouy-Pailler, Jérémie Mattout, Marco Congedo, Christian Jutten

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Model-based source separation for multi-class motor imagery.

Cédric Gouy-Pailler, Marco Congedo, Christian Jutten, Clemens Brunner, Gert Pfurtscheller

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

A Haptic Based Interface to Ease Visually Impaired Pupils' Inclusion in Geometry Lessons.

Cédric Gouy-Pailler, Sophie Zijp-Rouzier, Sylvie Vidal, Denis Chêne

Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007