Cédric Gouy-Pailler

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 34

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Fabiola Espinoza Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. ICASSP (2024)
Eduardo Fernandes Montesuma, Fabiola Espinoza Castellon, Fred Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation. CoRR (2024)
Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
When approximate design for fast homomorphic computation provides differential privacy guarantees. CoRR (2023)
Arnaud Grivet Sébert, Martin Zuber, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy. WAHC@CCS (2023)
Arnaud Grivet Sébert, Marina Checri, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
Combining homomorphic encryption and differential privacy in federated learning. PST (2023)
Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler
Federated learning with incremental clustering for heterogeneous data. IJCNN (2022)
Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan, Cédric Gouy-Pailler
Protecting Data from all Parties: Combining FHE and DP in Federated Learning. CoRR (2022)
Pierre-Emmanuel Clet, Martin Zuber, Aymen Boudguiga, Renaud Sirdey, Cédric Gouy-Pailler
Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping. IACR Cryptol. ePrint Arch. 2022 (2022)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. Mach. Learn. 111 (9) (2022)
Abbass Madi, Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler
SecTL: Secure and Verifiable Transfer Learning-based inference. ICISSP (2022)
Fabiola Espinoza Castellon, Aurélien Mayoue, Jacques-Henri Sublemontier, Cédric Gouy-Pailler
Federated learning with incremental clustering for heterogeneous data. CoRR (2022)
Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey
SPEED: secure, PrivatE, and efficient deep learning. Mach. Learn. 110 (4) (2021)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. CoRR (2021)
Mohammad Alshaer, Sandra Garcia-Rodriguez, Cédric Gouy-Pailler
Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning. ICTAI (2020)
Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey
SPEED: Secure, PrivatE, and Efficient Deep learning. CoRR (2020)
Sandra Garcia-Rodriguez, Mohammad Alshaer, Cédric Gouy-Pailler
STREAMER: A Powerful Framework for Continuous Learning in Data Streams. CIKM (2020)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR (2019)
Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
A unified view on differential privacy and robustness to adversarial examples. CoRR (2019)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization. NeurIPS (2019)
Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif
Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization. ICASSP (2018)
Oana Stan, Renaud Sirdey, Cédric Gouy-Pailler, Pierre Blanchart, Amira Ben Hamida, Mohamed-Haykel Zayani
Privacy-Preserving Tax Calculations in Smart Cities by Means of Inner-Product Functional Encryption. CSNet (2018)
Anne Morvan, Antoine Souloumiac, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
On the Needs for Rotations in Hypercubic Quantization Hashing. CoRR (2018)
Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Graph-based Clustering under Differential Privacy. UAI (2018)
Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
Graph sketching-based Space-efficient Data Clustering. SDM (2018)
Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Graph-based Clustering under Differential Privacy. CoRR (2018)
Yoann Isaac, Quentin Barthelemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. Signal Process. 130 (2017)
Pierre Blanchart, Cédric Gouy-Pailler
WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis. ECML/PKDD (3) (2017)
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
Structured adaptive and random spinners for fast machine learning computations. AISTATS (2017)
Anne Morvan, Antoine Souloumiac, Cédric Gouy-Pailler, Jamal Atif
Streaming Binary Sketching based on Subspace Tracking and Diagonal Uniformization. CoRR (2017)
Anne Morvan, Krzysztof Choromanski, Cédric Gouy-Pailler, Jamal Atif
Graph sketching-based Massive Data Clustering. CoRR (2017)
Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Tamás Sarlós, Jamal Atif
TripleSpin - a generic compact paradigm for fast machine learning computations. CoRR (2016)
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cédric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamás Sarlós, Jamal Atif
Structured adaptive and random spinners for fast machine learning computations. CoRR (2016)
Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard
Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series. IEEE Trans. Signal Process. 64 (16) (2016)
Yoann Isaac, Quentin Barthelemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. CoRR (2016)
Flore Harle, Florent Chatelain, Cédric Gouy-Pailler, Sophie Achard
Rank-based multiple change-point detection in multivariate time series. EUSIPCO (2014)
Yoann Isaac, Quentin Barthelemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
Multi-dimensional sparse structured signal approximation using split bregman iterations. ICASSP (2013)
Olaf Kouamo, Cédric Gouy-Pailler
Multi-scale test procedure for non-stationarity in short and long memory time series. ICASSP (2013)
Quentin Barthelemy, Cédric Gouy-Pailler, Yoann Isaac, Antoine Souloumiac, Anthony Larue, Jérôme I. Mars
Multivariate Temporal Dictionary Learning for EEG CoRR (2013)
Boujemaa Ait-El-Fquih, Cédric Gouy-Pailler
Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing. ICASSP (2013)
Yoann Isaac, Quentin Barthelemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
Multi-dimensional sparse structured signal approximation using split Bregman iterations CoRR (2013)
Anthony Mouraud, Quentin Barthelemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy
From neuronal cost-based metrics towards sparse coded signals classification. ESANN (2012)
Cédric Gouy-Pailler, Michèle Sebag, Anthony Larue, Antoine Souloumiac
Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise. Int. J. Imaging Syst. Technol. 21 (2) (2011)
Cédric Gouy-Pailler, Marco Congedo, Clemens Brunner, Christian Jutten, Gert Pfurtscheller
Nonstationary Brain Source Separation for Multiclass Motor Imagery. IEEE Trans. Biomed. Eng. 57 (2) (2010)
Cédric Gouy-Pailler, Jérémie Mattout, Marco Congedo, Christian Jutten
Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics. ESANN (2009)
Cédric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten
Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. ICA (2009)
Cédric Gouy-Pailler, Marco Congedo, Christian Jutten, Clemens Brunner, Gert Pfurtscheller
Model-based source separation for multi-class motor imagery. EUSIPCO (2008)
Cédric Gouy-Pailler, Sophie Zijp-Rouzier, Sylvie Vidal, Denis Chêne
A Haptic Based Interface to Ease Visually Impaired Pupils' Inclusion in Geometry Lessons. HCI (7) (2007)

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Publication Activity (10 Years)

Top Topics

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Cédric Gouy-Pailler