Mathias Lécuyer
Orcid: 0000-0001-9828-1688
According to our database1,
Mathias Lécuyer
authored at least 33 papers
between 2013 and 2024.
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Bibliography
2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples.
CoRR, 2024
Alistair: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems.
CoRR, 2024
CoRR, 2024
Proceedings of the 33rd USENIX Security Symposium, 2024
Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems.
Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the 29th Symposium on Operating Systems Principles, 2023
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
2022
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design.
CoRR, 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments.
Proceedings of the International Conference on Machine Learning, 2022
Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design.
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning.
CoRR, 2021
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
2019
PhD thesis, 2019
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform.
ACM SIGOPS Oper. Syst. Rev., 2019
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019
2018
On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning.
CoRR, 2018
2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017
2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Proceedings of the Tenth European Conference on Computer Systems, 2015
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
2014
Proceedings of the 23rd USENIX Security Symposium, San Diego, CA, USA, August 20-22, 2014., 2014
2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the ACM SIGCOMM 2013 Conference, 2013