Mathias Lécuyer

According to our database, Mathias Lécuyer authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples.

Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer

CoRR, 2024

Alistair: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems.

Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer

CoRR, 2024

Efficient and Adaptive Posterior Sampling Algorithms for Bandits.

Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

CoRR, 2024

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining.

Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Mauricio Soroco, Qiaoyue Tang, Tao Wang, Sébastien Gambs, Mathias Lécuyer

CoRR, 2024

NetShaper: A Differentially Private Network Side-Channel Mitigation System.

Amir Sabzi, Rut Vora, Swati Goswami, Margo I. Seltzer, Mathias Lécuyer, Aastha Mehta

Proceedings of the 33rd USENIX Security Symposium, 2024

Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems.

Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction).

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boost: Effective Caching in Differentially-Private Databases.

Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer

CoRR, 2023

DP-Adam: Correcting DP Bias in Adam's Second Moment Estimation.

Qiaoyue Tang, Mathias Lécuyer

CoRR, 2023

Turbo: Effective Caching in Differentially-Private Databases.

Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.

Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

Packing Privacy Budget Efficiently.

Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang

CoRR, 2022

Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design.

Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Margo I. Seltzer

CoRR, 2022

Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments.

Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen

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.

Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Mango I. Seltzer

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.

Mathias Lécuyer

CoRR, 2021

Privacy Budget Scheduling.

Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

Sayer: Using Implicit Feedback to Optimize System Policies.

Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2019

Security, Privacy, and Transparency Guarantees for Machine Learning Systems.

Mathias Lécuyer

PhD thesis, 2019

Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform.

Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu

ACM SIGOPS Oper. Syst. Rev., 2019

Certified Robustness to Adversarial Examples with Differential Privacy.

Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2018

Enhancing Selectivity in Big Data.

Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen

IEEE Secur. Priv., 2018

On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning.

Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana

CoRR, 2018

2017

Improving the Transparency of the Sharing Economy.

Mathias Lécuyer, Max Tucker, Augustin Chaintreau

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization.

Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen

Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017

Harvesting Randomness to Optimize Distributed Systems.

Mathias Lécuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

2015

Web Transparency for Complex Targeting: Algorithms, Limits, and Tradeoffs.

Guillaume Ducoffe, Mathias Lécuyer, Augustin Chaintreau, Roxana Geambasu

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Synapse: a microservices architecture for heterogeneous-database web applications.

Nicolas Viennot, Mathias Lécuyer, Jonathan Bell, Roxana Geambasu, Jason Nieh

Proceedings of the Tenth European Conference on Computer Systems, 2015

Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence.

Mathias Lécuyer, Riley Spahn, Yannis Spiliopolous, Augustin Chaintreau, Roxana Geambasu, Daniel J. Hsu

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

2014

XRay: Enhancing the Web's Transparency with Differential Correlation.

Mathias Lécuyer, Guillaume Ducoffe, Francis Lan, Andrei Papancea, Theofilos Petsios, Riley Spahn, Augustin Chaintreau, Roxana Geambasu

Proceedings of the 23rd USENIX Security Symposium, San Diego, CA, USA, August 20-22, 2014., 2014

2013

Weaving a safe web of news.

Kanak Biscuitwala, Willem Bult, Mathias Lécuyer, T. J. Purtell, Madeline K. B. Ross, Augustin Chaintreau, Chris Haseman, Monica S. Lam, Susan E. McGregor

Proceedings of the 22nd International World Wide Web Conference, 2013

Dispatch: secure, resilient mobile reporting.

Kanak Biscuitwala, Willem Bult, Mathias Lécuyer, T. J. Purtell, Madeline K. B. Ross, Augustin Chaintreau, Chris Haseman, Monica S. Lam, Susan E. McGregor

Proceedings of the ACM SIGCOMM 2013 Conference, 2013