A Haptic Based Interface to Ease Visually Impaired Pupils' Inclusion in Geometry Lessons. - Cédric Gouy-Pailler; Sophie Zijp-Rouzier; Sylvie Vidal; Denis Chêne (HCI (7), 2007)

Model-based source separation for multi-class motor imagery. - Cédric Gouy-Pailler; Marco Congedo; Christian Jutten; Clemens Brunner 001; Gert Pfurtscheller (EUSIPCO, 2008)

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics. - Cédric Gouy-Pailler; Jérémie Mattout; Marco Congedo; Christian Jutten (ESANN, 2009)

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. - Cédric Gouy-Pailler; Reza Sameni; Marco Congedo; Christian Jutten (ICA, 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 (2009)

Nonstationary Brain Source Separation for Multiclass Motor Imagery. - Cédric Gouy-Pailler; Marco Congedo; Clemens Brunner 001; Christian Jutten; Gert Pfurtscheller (IEEE Trans. Biomed. Eng., 2010)

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)

From neuronal cost-based metrics towards sparse coded signals classification. - Anthony Mouraud; Quentin Barthélemy; Aurélien Mayoue; Cédric Gouy-Pailler; Anthony Larue; Hélène Paugam-Moisy (ESANN, 2012)

Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing. - Boujemaa Ait-El-Fquih; Cédric Gouy-Pailler (ICASSP, 2013)

Multi-dimensional sparse structured signal approximation using split bregman iterations. - Yoann Isaac; Quentin Barthélemy; Jamal Atif; Cédric Gouy-Pailler; Michèle Sebag (ICASSP, 2013)

Multi-scale test procedure for non-stationarity in short and long memory time series. - Olaf Kouamo; Cédric Gouy-Pailler (ICASSP, 2013)

Multivariate Temporal Dictionary Learning for EEG - Quentin Barthélemy; Cédric Gouy-Pailler; Yoann Isaac; Antoine Souloumiac; Anthony Larue; Jérôme I. Mars (CoRR, 2013)

Rank-based multiple change-point detection in multivariate time series. - Flore Harle; Florent Chatelain; Cédric Gouy-Pailler; Sophie Achard (EUSIPCO, 2014)

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)

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)

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 (AISTATS, 2017)

WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis. - Pierre Blanchart; Cédric Gouy-Pailler (ECML/PKDD (3), 2017)

Graph sketching-based Massive Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 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)

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 (CSNet, 2018)

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. - Anne Morvan; Antoine Souloumiac; Cédric Gouy-Pailler; Jamal Atif (ICASSP, 2018)

Graph sketching-based Space-efficient Data Clustering. - Anne Morvan; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (SDM, 2018)

Graph-based Clustering under Differential Privacy. - Rafael Pinot; Anne Morvan; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (UAI, 2018)

On the Needs for Rotations in Hypercubic Quantization Hashing. - Anne Morvan; Antoine Souloumiac; Krzysztof Choromanski; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2018)

Theoretical evidence for adversarial robustness through randomization. - Rafael Pinot; Laurent Meunier; Alexandre Araujo; Hisashi Kashima; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (NeurIPS, 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)

A unified view on differential privacy and robustness to adversarial examples. - Rafael Pinot; Florian Yger; Cédric Gouy-Pailler; Jamal Atif (CoRR, 2019)

STREAMER: A Powerful Framework for Continuous Learning in Data Streams. - Sandra Garcia-Rodriguez; Mohammad Alshaer; Cédric Gouy-Pailler (CIKM, 2020)

Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning. - Mohammad Alshaer; Sandra Garcia-Rodriguez; Cédric Gouy-Pailler (ICTAI, 2020)

SPEED: secure, PrivatE, and efficient deep learning. - Arnaud Grivet Sébert; Rafael Pinot; Martin Zuber; Cédric Gouy-Pailler; Renaud Sirdey (Mach. Learn., 2021)

SecTL: Secure and Verifiable Transfer Learning-based inference. - Abbass Madi; Oana Stan; Renaud Sirdey; Cédric Gouy-Pailler (ICISSP, 2022)

Federated learning with incremental clustering for heterogeneous data. - Fabiola Espinoza Castellon; Aurélien Mayoue; Jacques-Henri Sublemontier; Cédric Gouy-Pailler (IJCNN, 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)

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)

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)

Combining homomorphic encryption and differential privacy in federated learning. - Arnaud Grivet Sébert; Marina Checri; Oana Stan; Renaud Sirdey; Cédric Gouy-Pailler (PST, 2023)

FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data. - Fabiola Espinoza Castellon; Deepika Singh; Aurélien Mayoue; Cédric Gouy-Pailler (TPS-ISA, 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 (WAHC@CCS, 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)

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)

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 (ICASSP, 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)