Cédric Gouy-Pailler

Orcid: 0000-0003-1298-7845

According to our database1, Cédric Gouy-Pailler authored at least 42 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation.
CoRR, 2024

Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation.
CoRR, 2023

When approximate design for fast homomorphic computation provides differential privacy guarantees.
CoRR, 2023

A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy.
Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023

FUBA: Federated Uncovering of Backdoor Attacks for Heterogeneous Data.
Proceedings of the 5th IEEE International Conference on Trust, 2023

Combining homomorphic encryption and differential privacy in federated learning.
Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

2022
On the robustness of randomized classifiers to adversarial examples.
Mach. Learn., 2022

Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping.
IACR Cryptol. ePrint Arch., 2022

Protecting Data from all Parties: Combining FHE and DP in Federated Learning.
CoRR, 2022

Federated learning with incremental clustering for heterogeneous data.
Proceedings of the International Joint Conference on Neural Networks, 2022

SecTL: Secure and Verifiable Transfer Learning-based inference.
Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

2021
SPEED: secure, PrivatE, and efficient deep learning.
Mach. Learn., 2021

2020
Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

STREAMER: A Powerful Framework for Continuous Learning in Data Streams.
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.
CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.
CoRR, 2019

Theoretical evidence for adversarial robustness through randomization.
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.
CoRR, 2018

Graph-based Clustering under Differential Privacy.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Graph sketching-based Space-efficient Data Clustering.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Privacy-Preserving Tax Calculations in Smart Cities by Means of Inner-Product Functional Encryption.
Proceedings of the 2nd Cyber Security in Networking Conference, 2018

2017
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.
Signal Process., 2017

Graph sketching-based Massive Data Clustering.
CoRR, 2017

WHODID: Web-Based Interface for Human-Assisted Factory Operations in Fault Detection, Identification and Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structured adaptive and random spinners for fast machine learning computations.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series.
IEEE Trans. Signal Process., 2016

TripleSpin - a generic compact paradigm for fast machine learning computations.
CoRR, 2016

2014
Rank-based multiple change-point detection in multivariate time series.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Multivariate Temporal Dictionary Learning for EEG
CoRR, 2013

Multi-scale test procedure for non-stationarity in short and long memory time series.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-dimensional sparse structured signal approximation using split bregman iterations.
Proceedings of the IEEE International Conference on Acoustics, 2013

Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
From neuronal cost-based metrics towards sparse coded signals classification.
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.
Int. J. Imaging Syst. Technol., 2011

2010
Nonstationary Brain Source Separation for Multiclass Motor Imagery.
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).
PhD thesis, 2009

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Model-based source separation for multi-class motor imagery.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A Haptic Based Interface to Ease Visually Impaired Pupils' Inclusion in Geometry Lessons.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007


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