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

, , , , и . EuroSys, стр. 21:1-21:16. ACM, (2015)

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Mathias Rausch

Stärkung des Informationsanspruchs durch das Arca-nigra-Verfahren: ein In-camera-Verfahren zur Kontrolle der Informationsgabe. Uni Köln, (2009)

Mathias Rafler

Gaussian loop- and Pólya processes: a point process approach. Uni Potsdam, (2009)

Mathias Guder

Photo-resist stripping with DI/O3 in semiconductor device manufacturing: process chemistry and analytical aspects. Uni Frankfurt Main, (2010)

Mathias Sommer

Mathias Schindler

 

Другие публикации лиц с тем же именем

Certified Robustness to Adversarial Examples with Differential Privacy., , , , и . IEEE Symposium on Security and Privacy, стр. 656-672. IEEE, (2019)Synapse: a microservices architecture for heterogeneous-database web applications., , , , и . EuroSys, стр. 21:1-21:16. ACM, (2015)Security, Privacy, and Transparency Guarantees for Machine Learning Systems.. Columbia University, USA, (2019)Dispatch: secure, resilient mobile reporting., , , , , , , , и . SIGCOMM, стр. 459-460. ACM, (2013)DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)., , и . AAAI, стр. 15276-15283. AAAI Press, (2024)Sayer: Using Implicit Feedback to Optimize System Policies., , , , , , и . SoCC, стр. 273-288. ACM, (2021)Improving the Transparency of the Sharing Economy., , и . WWW (Companion Volume), стр. 1043-1051. ACM, (2017)GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning., , , , , и . MLSys, mlsys.org, (2023)Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples., , , , и . CoRR, (2024)Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 13468-13504. PMLR, (2022)