Peer-reviewed publications and technical reports, ordered by year. Resource links and BibTeX are shown when available. You can also find me on ORCID, DBLP, and Google Scholar.
2026 (9)
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing
Patricia Guerra-Balboa, Annika Sauer, Héber H. Arcolezi, Thorsten Strufe
@article{GuerraBalboa2026,
title = {Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing},
volume = {19},
ISSN = {2150-8097},
DOI = {10.14778/3801059.3801069},
number = {7},
journal = {Proceedings of the VLDB Endowment},
publisher = {Association for Computing Machinery (ACM)},
author = {Guerra-Balboa, Patricia and Sauer, Annika and Arcolezi, H\'eber Hwang and Strufe, Thorsten},
year = {2026},
month = Mar,
pages = {1558–1571}
}
Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
@inproceedings{MarreirasNeto2026,
title = {Data Poisoning in Longitudinal Local Differential Privacy: Attacks and Analysis},
ISBN = {9783032332608},
ISSN = {1611-3349},
DOI = {10.1007/978-3-032-33260-8_7},
booktitle = {Data and Applications Security and Privacy XL},
publisher = {Springer Nature Switzerland},
author = {Marreiras Neto, Ant\^onio A. and Arcolezi, H\'eber Hwang and Machado, Javam C.},
year = {2026},
pages = {124–141}
}
Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data
Maryam Babaei, Yingke Wang, Hadrien Lautraite, Héber H. Arcolezi, Ulrich Aïvodji, Sébastien Gambs
@inproceedings{Babaei2026,
author = {Babaei, Maryam and Wang, Yingke and Lautraite, Hadrien and Arcolezi, H\'eber Hwang and A\"{\i}vodji, Ulrich and Gambs, S\'{e}bastien},
title = {Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data},
year = {2026},
isbn = {9798400725968},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3805689.3812361},
booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency},
pages = {4988–5022},
series = {FAccT '26}
}
Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
Ramon G. Gonze, Natasha Fernandes, Héber H. Arcolezi, Catuscia Palamidessi, Nataliia Bielova
@inproceedings{Mishra2026,
author = {Mishra, Abhishek Kumar and Cunche, Mathieu and Arcolezi, H\'eber Hwang},
title = {How Tough Is Location Anonymization? Re-identifying 100K Real-User Trajectories in Japan},
year = {2026},
isbn = {9798400723568},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3779208.3805978},
booktitle = {Proceedings of the ACM Asia Conference on Computer and Communications Security},
pages = {1261–1273},
location = {Bangalore, India},
series = {ASIA CCS '26}
}
Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
@inproceedings{Arcolezi2026revising,
author={Arcolezi, H\'eber Hwang and Gambs, S{\'e}bastien},
booktitle={2026 IEEE 42nd International Conference on Data Engineering (ICDE)},
title={Revisiting Locally Differentially Private Protocols: Towards Better Trade-Offs in Privacy, Utility, and Attack Resistance},
year={2026},
volume={},
number={},
pages={294-307},
doi={10.1109/ICDE65706.2026.00029}}
Private Frequency Estimation Via Residue Number Systems
@inproceedings{arcolezi2026private,
title={Private Frequency Estimation via Residue Number Systems},
author={Arcolezi, H\'eber Hwang},
doi={10.1609/aaai.v40i42.40862},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={40},
number={42},
pages={35518--35526},
year={2026}
}
Estimating the True Distribution of Data Collected with Randomized Response
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot, Alexis Miller, Héber H. Arcolezi, Catuscia Palamidessi
@inproceedings{pinzon2026estimating,
title={Estimating the True Distribution of Data Collected with Randomized Response},
author={Pinz{\'o}n, Carlos Antonio and ElSalamouny, Ehab and Massot, Lucas and Miller, Alexis and Arcolezi, H\'eber Hwang and Palamidessi, Catuscia},
doi={10.1609/aaai.v40i42.40888},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={40},
number={42},
pages={35751-35758},
year={2026}
}
2025 (4)
Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy
Haoying Zhang, Abhishek K Mishra, Héber H. Arcolezi
@inproceedings{arcolezi2025ccs,
author = {Zhang, Haoying and Mishra, Abhishek K. and Arcolezi, H\'eber Hwang},
title = {Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy},
year = {2025},
publisher = {Association for Computing Machinery},
doi = {10.1145/3719027.3760706},
booktitle = {Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security},
pages = {4728–4730},
numpages = {3},
location = {Taipei, Taiwan},
series = {CCS '25}
}
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness
Héber H. Arcolezi, Mina Alishahi, Adda-Akram Bendoukha, Nesrine Kaaniche
@inproceedings{Arcolezi2025ecai,
title = {Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness},
DOI = {10.3233/faia250909},
booktitle = {ECAI 2025},
publisher = {IOS Press},
author = {Arcolezi, H\'eber Hwang and Alishahi, Mina and Bendoukha, Adda-Akram and Kaaniche, Nesrine},
year = {2025},
month = oct
}
FADE: Federated Aggregation with Discrimination Elimination
Adda-Akram Bendoukha, Héber H. Arcolezi, Nesrine Kaaniche, Aymen Boudguiga, Renaud Sirdey, Pierre-Emmanuel Clet
@inproceedings{Bendoukha2025,
author = {Bendoukha, Adda-Akram and Arcolezi, H\'eber Hwang and Kaaniche, Nesrine and Boudguiga, Aymen and Sirdey, Renaud and Clet, Pierre-Emmanuel},
title = {FADE: Federated Aggregation with Discrimination Elimination},
year = {2025},
isbn = {9798400714825},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3715275.3732203},
booktitle = {Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency},
pages = {3182–3195},
numpages = {14},
keywords = {Federated Learning, Group fairness, Algorithmic Fairness},
location = {},
series = {FAccT '25}
}
Group fairness under obfuscated sensitive information
Héber H. Arcolezi, Karima Makhlouf, Catuscia Palamidessi
@InProceedings{Eichler2024,
author="Eichler, C{\'e}dric
and Champeil, Nathan
and Anciaux, Nicolas
and Bensamoun, Alexandra
and Arcolezi, H\'eber Hwang
and De Fuentes, Jos{\'e} Maria",
title="Nob-{MIA}s: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction",
booktitle="Web Information Systems Engineering -- WISE 2024",
year="2025",
publisher="Springer Nature Singapore",
address="Singapore",
pages="441--456",
doi="10.1007/978-981-96-0570-5_32"
}
On the impact of multi-dimensional local differential privacy on fairness
Karima Makhlouf, Heber H Arcolezi, Sami Zhioua, Ghassen Ben Brahim, Catuscia Palamidessi
@article{Makhlouf2024,
title = {On the impact of multi-dimensional local differential privacy on fairness},
ISSN = {1573-756X},
DOI = {10.1007/s10618-024-01031-0},
journal = {Data Mining and Knowledge Discovery},
publisher = {Springer Science and Business Media LLC},
author = {Makhlouf, Karima and Arcolezi, H\'eber Hwang and Zhioua, Sami and Brahim, Ghassen Ben and Palamidessi, Catuscia},
year = {2024},
month = may
}
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
@INPROCEEDINGS{Makhlouf2024_b,
author={Makhlouf, Karima and Stefanović, Tamara and Arcolezi, H\'eber Hwang and Palamidessi, Catuscia},
booktitle={2024 IEEE 37th Computer Security Foundations Symposium (CSF)},
title={A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results},
year={2024},
volume={},
number={},
pages={1-16},
keywords={Privacy;Differential privacy;Accuracy;Systematics;Noise;Training data;Equal opportunities;Differential Privacy;Machine learning;Fairness;Randomized Response},
doi={10.1109/CSF61375.2024.00039}}
Causal Discovery Under Local Privacy
Ruta Binkyte, Carlos Antonio Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber H. Arcolezi, Catuscia Palamidessi
@InProceedings{pmlr-v236-binkyte24a,
title = {Causal Discovery Under Local Privacy},
author = {Binkyte, Ruta and Pinz\'on, Carlos Antonio and Lesty\'an, Szilvia and Jung, Kangsoo and Arcolezi, H\'eber Hwang and Palamidessi, Catuscia},
booktitle = {Proceedings of the Third Conference on Causal Learning and Reasoning},
pages = {325--383},
year = {2024},
editor = {Locatello, Francesco and Didelez, Vanessa},
volume = {236},
series = {Proceedings of Machine Learning Research},
month = {01--03 Apr},
publisher = {PMLR},
url = {https://proceedings.mlr.press/v236/binkyte24a.html},
}
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
Héber H. Arcolezi, Jean-François Couchot, Bechara Al Bouna, Xiaokui Xiao
@article{Arcolezi2022,
doi = {10.1016/j.dcan.2022.07.003},
year = {2022},
month = jul,
publisher = {Elsevier {BV}},
author = {Arcolezi, H\'eber Hwang and Jean-Fran{\c{c}}ois Couchot and Bechara Al Bouna and Xiaokui Xiao},
title = {Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates},
journal = {Digital Communications and Networks}
}
2023 (4)
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Héber H. Arcolezi, Sébastien Gambs, Jean-François Couchot, Catuscia Palamidessi
@inproceedings{Arcolezi2023evolving,
author = {Arcolezi, H\'eber Hwang and Pinzón, Carlos A and Palamidessi, Catuscia and Gambs, Sébastien},
title = {Frequency Estimation of Evolving Data Under Local Differential Privacy},
booktitle = {Proceedings of the 26th International Conference on Extending Database
Technology, {EDBT} 2023, Ioannina, Greece, March 28 - March 31, 2023},
pages = {512--525},
publisher = {OpenProceedings.org},
year = {2023},
doi = {10.48786/EDBT.2023.44},
}
(Local) Differential Privacy has NO Disparate Impact on Fairness
Héber H. Arcolezi, Karima Makhlouf, Catuscia Palamidessi
@InProceedings{Arcolezi2023_dbsec,
author="Arcolezi, H\'eber Hwang
and Makhlouf, Karima
and Palamidessi, Catuscia",
editor="Atluri, Vijayalakshmi
and Ferrara, Anna Lisa",
title="(Local) Differential Privacy has NO Disparate Impact on Fairness",
booktitle="Data and Applications Security and Privacy XXXVII",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="3--21",
doi="10.1007/978-3-031-37586-6_1"
}
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms
Héber H. Arcolezi, Selene Cerna, Catuscia Palamidessi
@INPROCEEDINGS{Arcolezi2023_b,
title = {On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms},
ISBN = {9783031375866},
ISSN = {1611-3349},
DOI = {10.1007/978-3-031-37586-6_11},
booktitle = {Data and Applications Security and Privacy XXXVII},
publisher = {Springer Nature Switzerland},
author = {Arcolezi, H\'eber Hwang and Cerna, Selene and Palamidessi, Catuscia},
year = {2023},
pages = {165–183}
}
2022 (3)
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
Héber H. Arcolezi, Jean-François Couchot, Sébastien Gambs, Catuscia Palamidessi, Majid Zolfaghari
@inproceedings{multi_freq_ldpy,
author="Arcolezi, H\'eber Hwang
and Couchot, Jean-Fran{\c{c}}ois
and Gambs, S{\'e}bastien
and Palamidessi, Catuscia
and Zolfaghari, Majid",
editor="Atluri, Vijayalakshmi
and Di Pietro, Roberto
and Jensen, Christian D.
and Meng, Weizhi",
title="Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python",
booktitle="Computer Security -- ESORICS 2022",
year="2022",
doi="10.1007/978-3-031-17143-7_40",
publisher="Springer Nature Switzerland",
address="Cham",
pages="770--775",
}
Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities
Héber H. Arcolezi, Selena Cerna, Jean-François Couchot, Christophe Guyeux, Abdallah Makhoul
@ARTICLE{Arcolezi2022_tii,
author={Arcolezi, H\'eber Hwang and Cerna, Selene and Couchot, Jean-François and Guyeux, Christophe and Makhoul, Abdallah},
journal={IEEE Transactions on Industrial Informatics},
title={Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities},
year={2022},
volume={18},
number={8},
pages={5592-5599},
doi={10.1109/TII.2021.3123588}}
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Héber H. Arcolezi, Jean-François Couchot, Denis Renaud, Bechara Al Bouna, Xiaokui Xiao
@article{Arcolezi2022_b,
title = {Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?},
volume = {34},
ISSN = {1433-3058},
DOI = {10.1007/s00521-022-07393-0},
number = {16},
journal = {Neural Computing and Applications},
publisher = {Springer Science and Business Media LLC},
author = {Arcolezi, Héber Hwang and Couchot, Jean-Fran\c{c}ois and Renaud, Denis and Al Bouna, Bechara and Xiao, Xiaokui},
year = {2022},
month = jun,
pages = {13355–13369}
}
2021 (4)
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Héber H. Arcolezi, Jean-François Couchot, Bechara Al Bouna, Xiaokui Xiao
@inproceedings{Arcolezi_rs_fd,
title={Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy},
author={Arcolezi, H\'eber Hwang and Couchot, Jean-Fran{\c{c}}ois and Al Bouna, Bechara and Xiao, Xiaokui},
booktitle={Proceedings of the 30th {ACM} International Conference on Information \& Knowledge Management},
pages={47--57},
year={2021},
doi = {10.1145/3459637.3482467},
month = {oct},
publisher = {{ACM}},
}
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impact
Selene Cerna, Héber H. Arcolezi, Christophe Guyeux, Guillaume Royer-Fey, Céline Chevallier
@article{Arcolezi2021,
title = {Preserving Geo-Indistinguishability of the Emergency Scene to Predict Ambulance Response Time},
volume = {26},
ISSN = {2297-8747},
DOI = {10.3390/mca26030056},
number = {3},
journal = {Mathematical and Computational Applications},
publisher = {MDPI AG},
author = {Arcolezi, H\'eber Hwang and Cerna, Selene and Guyeux, Christophe and Couchot, Jean-Fran\c{c}ois},
year = {2021},
month = aug,
pages = {56}
}
RISE Controller Tuning and System Identification Through Machine Learning for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
Héber H. Arcolezi, Willian RBM Nunes, Rafael A de Araujo, Selene Cerna, Marcelo AA Sanches, Marcelo CM Teixeira, Aparecido A de Carvalho
@article{Arcolezi2021_C,
title = {RISE controller tuning and system identification through machine learning for human lower limb rehabilitation via neuromuscular electrical stimulation},
volume = {102},
ISSN = {0952-1976},
DOI = {10.1016/j.engappai.2021.104294},
journal = {Engineering Applications of Artificial Intelligence},
publisher = {Elsevier BV},
author = {Arcolezi, H\'eber Hwang and Nunes, Willian R.B.M. and de Araujo, Rafael A. and Cerna, Selene and Sanches, Marcelo A.A. and Teixeira, Marcelo C.M. and de Carvalho, Aparecido A.},
year = {2021},
month = jun,
pages = {104294}
}
2020 (6)
Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks
Héber H. Arcolezi, Willian RBM Nunes, Selene Cerna, Rafael A de Araujo, Marcelo Augusto Assunção Sanches, Marcelo Carvalho Minhoto Teixeira, Aparecido Augusto de Carvalho
@article{Arcolezi2020_B,
title = {Identifying the knee joint angular position under neuromuscular electrical stimulation via long short-term memory neural networks},
volume = {36},
ISSN = {2446-4740},
DOI = {10.1007/s42600-020-00089-1},
number = {4},
journal = {Research on Biomedical Engineering},
publisher = {Springer Science and Business Media LLC},
author = {Arcolezi, H\'eber Hwang and Nunes, Willian R. B. M. and Cerna, Selene and de Araujo, Rafael A. and Sanches, Marcelo Augusto Assun\c{c}ão and Teixeira, Marcelo Carvalho Minhoto and de Carvalho, Aparecido Augusto},
year = {2020},
month = sep,
pages = {511–526}
}
Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy
Héber H. Arcolezi, Jean-François Couchot, Bechara Al Bouna, Xiaokui Xiao
@INPROCEEDINGS{Arcolezi2021_g,
title = {Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy},
ISBN = {9783030724658},
ISSN = {1868-422X},
DOI = {10.1007/978-3-030-72465-8_3},
booktitle={IFIP International Summer School on Privacy and Identity Management},
publisher = {Springer International Publishing},
author = {Arcolezi, H\'eber Hwang and Couchot, Jean-Fran\c{c}ois and Bouna, Bechara Al and Xiao, Xiaokui},
year = {2021},
pages = {40–57}
}
Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy
Héber H. Arcolezi, Jean-François Couchot, Oumaya Baala, Jean-Michel Contet, Bechara Al Bouna, Xiaokui Xiao
@INPROCEEDINGS{Arcolezi2020_D,
author={Arcolezi, H\'eber Hwang and Couchot, Jean-François and Baala, Oumaya and Contet, Jean-Michel and Al Bouna, Bechara and Xiao, Xiaokui},
booktitle={2020 International Wireless Communications and Mobile Computing (IWCMC)},
title={Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy},
year={2020},
volume={},
number={},
pages={1689-1694},
keywords={Urban areas;Data models;Companies;Data privacy;Extrapolation;Geology;Mobility scenario modeling;Synthetic data generation;Open data;Inferring anonymous data},
doi={10.1109/IWCMC48107.2020.9148138}}
Forecasting the Number of Firefighter Interventions per Region with Local-Differential-Privacy-Based Data
Héber H. Arcolezi, Jean-François Couchot, Selene Cerna, Christophe Guyeux, Guillaume Royer, Béchara Al Bouna, Xiaokui Xiao
@article{Arcolezi2020_E,
title = {Forecasting the number of firefighter interventions per region with local-differential-privacy-based data},
volume = {96},
ISSN = {0167-4048},
DOI = {10.1016/j.cose.2020.101888},
journal = {Computers \& Security},
publisher = {Elsevier BV},
author = {Arcolezi, H\'eber Hwang and Couchot, Jean-Fran\c{c}ois and Cerna, Selene and Guyeux, Christophe and Royer, Guillaume and Bouna, Béchara Al and Xiao, Xiaokui},
year = {2020},
month = sep,
pages = {101888}
}
A Comparison of LSTM and XGBoost for Predicting Firemen Interventions
Selene Cerna, Christophe Guyeux, Héber H. Arcolezi, Raphaël Couturier, Guillaume Royer
@INPROCEEDINGS{Cerna2020_B,
title = {A Comparison of LSTM and XGBoost for Predicting Firemen Interventions},
ISBN = {9783030456917},
ISSN = {2194-5365},
DOI = {10.1007/978-3-030-45691-7_39},
booktitle = {Trends and Innovations in Information Systems and Technologies},
publisher = {Springer International Publishing},
author = {Cerna, Selene and Guyeux, Christophe and Arcolezi, H\'eber Hwang and Couturier, Raphaël and Royer, Guillaume},
year = {2020},
pages = {424–434}
}
Boosting Methods for Predicting Firemen Interventions
Selene Cerna, Christophe Guyeux, Héber H. Arcolezi, Guillaume Royer
@INPROCEEDINGS{Cerna2020_f,
author={Cerna, Selene and Guyeux, Christophe and Arcolezi, H\'eber Hwang and Royer, Guillaume},
booktitle={2020 11th International Conference on Information and Communication Systems (ICICS)},
title={Boosting Methods for Predicting Firemen Interventions},
year={2020},
volume={},
number={},
pages={001-006},
keywords={Roads;Boosting;Robustness;Real-time systems;Time factors;Resource management;Machinery;XGBoost;AdaBoost;Gradient Boosting;Firemen;Prediction},
doi={10.1109/ICICS49469.2020.239488}}
2019 (2)
A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation
Héber H. Arcolezi, Willian RBM Nunes, Selene Leya Cerna Nahuis, Marcelo AA Sanches, Marcelo CM Teixeira, Aparecido A De Carvalho
@INPROCEEDINGS{Arcolezi2019,
author={Arcolezi, H\'eber Hwang and Nunes, Willian R. B. M. and Ñahuis, Selene Leya Cerna and Sanches, Marcelo A. A. and Teixeira, Marcelo C. M. and de Carvalho, Aparecido A.},
booktitle={2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)},
title={A RISE-based Controller Fine-tuned by an Improved Genetic Algorithm for Human Lower Limb Rehabilitation via Neuromuscular Electrical Stimulation},
year={2019},
volume={},
number={},
pages={1197-1202},
keywords={Muscles;Sociology;Statistics;Knee;Genetic algorithms;Mathematical model;Fatigue},
doi={10.1109/CoDIT.2019.8820357}}
Long Short-Term Memory for Predicting Firemen Interventions
Selene Leya Cerna Nahuis, Christophe Guyeux, Héber H. Arcolezi, Raphaël Couturier, Guillaume Royer, Anna Diva Plasencia Lotufo
@INPROCEEDINGS{nahuis2019,
author={Ñahuis, Selene Leya Cerna and Guyeux, Christophe and Arcolezi, H\'eber Hwang and Couturier, Raphaël and Royer, Guillaume and Lotufo, Anna Diva Plasencia},
booktitle={2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)},
title={Long Short-Term Memory for Predicting Firemen Interventions},
year={2019},
volume={},
number={},
pages={1132-1137},
doi={10.1109/CoDIT.2019.8820671}}
Technical Reports (3)
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning