Mathias Lécuyer

54 papers A* 17A 2Misc 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Natural Privacy Filters Are Not Always Free: A Characterization of Free Natural Filters. CoRR Matthew Regehr, Bingshan Hu, Ethan Leeman, Pasin Manurangsi, Pierre Tholoniat, Mathias Lécuyer
2025	J	`jnl`	Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion. CoRR Frederick Shpilevskiy, Saiyue Lyu, Krishnamurthy Dj Dvijotham, Mathias Lécuyer, Pierre-André Noël
2025	J	`jnl`	Big Bird: Privacy Budget Management for W3C's Privacy-Preserving Attribution API. CoRR Pierre Tholoniat, Alison Caulfield, Giorgio Cavicchioli, Mark Chen, Nikos Goutzoulias, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Martin Thomson
2025	A*	`conf`	Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret. ICML Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde
2025	J	`jnl`	Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret. CoRR Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde
2025	A	`conf`	DPack: Efficiency-Oriented Privacy Budget Scheduling. EuroSys Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang
2025	A*	`conf`	FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. INFOCOM Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh
2025	J	`jnl`	FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. CoRR Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh
2025	J	`jnl`	On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance. CoRR Qiaoyue Tang, Alain Zhiyanov, Mathias Lécuyer
2024	A*	`conf`	Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences. NeurIPS Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer
2024	J	`jnl`	Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples. CoRR Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer
2024	J	`jnl`	Alistair: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems. CoRR Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2024	A*	`conf`	Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems. SOSP Pierre Tholoniat, Kelly Kostopoulou, Peter McNeely, Prabhpreet Singh Sodhi, Anirudh Varanasi, Benjamin Case, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2024	A*	`conf`	DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction). AAAI Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer
2024	J	`jnl`	Efficient and Adaptive Posterior Sampling Algorithms for Bandits. CoRR Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde
2024	A*	`conf`	NetShaper: A Differentially Private Network Side-Channel Mitigation System. USENIX Security Symposium Amir Sabzi, Rut Vora, Swati Goswami, Margo I. Seltzer, Mathias Lécuyer, Aastha Mehta
2024	A*	`conf`	PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining. NeurIPS Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco, Tao Wang, Sébastien Gambs, Mathias Lécuyer
2024	J	`jnl`	PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining. CoRR Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Mauricio Soroco, Qiaoyue Tang, Tao Wang, Sébastien Gambs, Mathias Lécuyer
2024	J	`jnl`	Training and Evaluating Causal Forecasting Models for Time-Series. CoRR Thomas Crasson, Yacine Nabet, Mathias Lécuyer
2023	J	`jnl`	Boost: Effective Caching in Differentially-Private Databases. CoRR Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2023	J	`jnl`	DP-Adam: Correcting DP Bias in Adam's Second Moment Estimation. CoRR Qiaoyue Tang, Mathias Lécuyer
2023	J	`jnl`	DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction). CoRR Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer
2023	—	`conf`	GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. MLSys Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2023	J	`jnl`	NetShaper: A Differentially Private Network Side-Channel Mitigation System. CoRR Amir Sabzi, Rut Vora, Swati Goswami, Margo I. Seltzer, Mathias Lécuyer, Aastha Mehta
2023	A*	`conf`	Turbo: Effective Caching in Differentially-Private Databases. SOSP Kelly Kostopoulou, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2022	J	`jnl`	Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design. CoRR Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Margo I. Seltzer
2022	—	`conf`	Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design. CIKM Workshops Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Mango I. Seltzer
2022	J	`jnl`	GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. CoRR Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2022	A*	`conf`	Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments. ICML Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen
2022	J	`jnl`	Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments. CoRR Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen
2022	J	`jnl`	Packing Privacy Budget Efficiently. CoRR Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang
2021	J	`jnl`	Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep Learning. CoRR Mathias Lécuyer
2021	A*	`conf`	Privacy Budget Scheduling. OSDI Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2021	J	`jnl`	Privacy Budget Scheduling. CoRR Tao Luo, Mingen Pan, Pierre Tholoniat, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer
2021	—	`conf`	Sayer: Using Implicit Feedback to Optimize System Policies. SoCC Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma
2021	J	`jnl`	Sayer: Using Implicit Feedback to Optimize System Policies. CoRR Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2019	A*	`conf`	Certified Robustness to Adversarial Examples with Differential Privacy. IEEE Symposium on Security and Privacy Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana
2019	J	`jnl`	Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. CoRR Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2019	J	`jnl`	Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. ACM SIGOPS Oper. Syst. Rev. Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2019	A*	`conf`	Privacy accounting and quality control in the sage differentially private ML platform. SOSP Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2019	—	`—`	Security, Privacy, and Transparency Guarantees for Machine Learning Systems. Mathias Lécuyer
2018	J	`jnl`	Enhancing Selectivity in Big Data. IEEE Secur. Priv. Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2018	J	`jnl`	On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning. CoRR Mathias Lécuyer, Vaggelis Atlidakis, Roxana Geambasu, Daniel Hsu, Suman Jana
2017	Misc	`conf`	Harvesting Randomness to Optimize Distributed Systems. HotNets Mathias Lécuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
2017	—	`conf`	Improving the Transparency of the Sharing Economy. WWW (Companion Volume) Mathias Lécuyer, Max Tucker, Augustin Chaintreau
2017	A*	`conf`	Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. IEEE Symposium on Security and Privacy Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2017	J	`jnl`	Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. CoRR Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2015	A*	`conf`	Sunlight: Fine-grained Targeting Detection at Scale with Statistical Confidence. CCS Mathias Lécuyer, Riley Spahn, Yannis Spiliopolous, Augustin Chaintreau, Roxana Geambasu, Daniel J. Hsu
2015	A	`conf`	Synapse: a microservices architecture for heterogeneous-database web applications. EuroSys Nicolas Viennot, Mathias Lécuyer, Jonathan Bell, Roxana Geambasu, Jason Nieh
2015	A*	`conf`	Web Transparency for Complex Targeting: Algorithms, Limits, and Tradeoffs. SIGMETRICS Guillaume Ducoffe, Mathias Lécuyer, Augustin Chaintreau, Roxana Geambasu
2014	A*	`conf`	XRay: Enhancing the Web's Transparency with Differential Correlation. USENIX Security Symposium Mathias Lécuyer, Guillaume Ducoffe, Francis Lan, Andrei Papancea, Theofilos Petsios, Riley Spahn, Augustin Chaintreau, Roxana Geambasu
2014	J	`jnl`	XRay: Enhancing the Web's Transparency with Differential Correlation. CoRR Mathias Lécuyer, Guillaume Ducoffe, Francis Lan, Andrei Papancea, Theofilos Petsios, Riley Spahn, Augustin Chaintreau, Roxana Geambasu
2013	A*	`conf`	Dispatch: secure, resilient mobile reporting. SIGCOMM Kanak Biscuitwala, Willem Bult, Mathias Lécuyer, T. J. Purtell, Madeline K. B. Ross, Augustin Chaintreau, Chris Haseman, Monica S. Lam, Susan E. McGregor
2013	—	`conf`	Weaving a safe web of news. WWW (Companion Volume) Kanak Biscuitwala, Willem Bult, Mathias Lécuyer, T. J. Purtell, Madeline K. B. Ross, Augustin Chaintreau, Chris Haseman, Monica S. Lam, Susan E. McGregor