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Mathias Lécuyer
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Certified robustness to adversarial examples with differential privacy
M Lecuyer, V Atlidakis, R Geambasu, D Hsu, S Jana
2019 IEEE Symposium on Security and Privacy (SP), 656-672, 2019
6812019
XRay: Enhancing the Web’s Transparency with Differential Correlation
M Lécuyer, G Ducoffe, F Lan, A Papancea, T Petsios, R Spahn, ...
23rd USENIX Security Symposium (USENIX Security 14), 49-64, 2014
1532014
Sunlight: Fine-grained targeting detection at scale with statistical confidence
M Lecuyer, R Spahn, Y Spiliopolous, A Chaintreau, R Geambasu, D Hsu
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015
822015
Synapse: a microservices architecture for heterogeneous-database web applications
N Viennot, M Lécuyer, J Bell, R Geambasu, J Nieh
Proceedings of the Tenth European Conference on Computer Systems, 1-16, 2015
562015
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
M Lécuyer, R Spahn, K Vodrahalli, R Geambasu, D Hsu
Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP …, 2019
212019
Harvesting randomness to optimize distributed systems
M Lecuyer, J Lockerman, L Nelson, S Sen, A Sharma, A Slivkins
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, 178-184, 2017
122017
Enhancing selectivity in big data
M Lecuyer, R Spahn, R Geambasu, TK Huang, S Sen
IEEE Security & Privacy 16 (1), 34-42, 2018
112018
Privacy Budget Scheduling
T Luo, M Pan, P Tholoniat, A Cidon, R Geambasu, M Lécuyer
15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21), 2021
92021
Improving the transparency of the sharing economy
M Lecuyer, M Tucker, A Chaintreau
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
92017
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
M Lecuyer, R Spahn, R Geambasu, TK Huang, S Sen
92017
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning
M Lécuyer
arXiv preprint arXiv:2103.01379, 2021
82021
Web transparency for complex targeting: Algorithms, limits, and tradeoffs
G Ducoffe, M Lécuyer, A Chaintreau, R Geambasu
Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015
42015
Dispatch: Secure, resilient mobile reporting
K Biscuitwala, W Bult, M Lécuyer, TJ Purtell, MKB Ross, A Chaintreau, ...
ACM SIGCOMM Computer Communication Review 43 (4), 459-460, 2013
22013
Weaving a safe web of news
K Kiscuitwala, W Bult, M Lécuyer, TJ Purtell, MKB Ross, A Chaintreau, ...
Proceedings of the 22nd International Conference on World Wide Web, 849-852, 2013
22013
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design
A Behrouz, M Lécuyer, C Rudin, M Seltzer
arXiv preprint arXiv:2210.06825, 2022
2022
Privacy filters and odometers for deep learning
MFR Lécuyer
US Patent App. 17/328,785, 2022
2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
J Lin, A Zhang, M Lécuyer, J Li, A Panda, S Sen
International Conference on Machine Learning, 13468-13504, 2022
2022
Sayer: Using Implicit Feedback to Optimize System Policies
M Lécuyer, SH Kim, M Nanavati, J Jiang, S Sen, A Slivkins, A Sharma
Proceedings of the ACM Symposium on Cloud Computing, 273-288, 2021
2021
Monitoring Shifts in Flowering Phenology Using Satellite Imagery and Deep Learning
J Gantois, M Lecuyer
Authorea Preprints, 2019
2019
Security, Privacy, and Transparency Guarantees for Machine Learning Systems
M Lécuyer
Columbia University, 2019
2019
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Articles 1–20