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Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.

F. Boenisch, A. Dziedzic, R. Schuster, A. Shamsabadi, I. Shumailov, and N. Papernot. EuroS&P, page 241-257. IEEE, (2023)

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Nicolas Jeanvoine

Plasma-material interaction and electrode degradation in high voltage ignition dischargesN. Jeanvoine. Uni Saarbrücken, (2009)

Nicolas Haas

Nicolas Rüsch

Nicolas Trapp

Nicolas Simon

Other publications of authors with the same name

A Marauder's Map of Security and Privacy in Machine Learning.N. Papernot. CoRR, (2018)Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data.N. Papernot, M. Abadi, Ú. Erlingsson, I. Goodfellow, and K. Talwar. ICLR, OpenReview.net, (2017)Machine Unlearning.L. Bourtoule, V. Chandrasekaran, C. Choquette-Choo, H. Jia, A. Travers, B. Zhang, D. Lie, and N. Papernot. CoRR, (2019)cleverhans v0.1: an adversarial machine learning library.I. Goodfellow, N. Papernot, and P. McDaniel. CoRR, (2016)Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks.N. Papernot, P. McDaniel, X. Wu, S. Jha, and A. Swami. CoRR, (2015)The Space of Transferable Adversarial Examples.F. Tramèr, N. Papernot, I. Goodfellow, D. Boneh, and P. McDaniel. CoRR, (2017)On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches.M. Abadi, Ú. Erlingsson, I. Goodfellow, H. McMahan, I. Mironov, N. Papernot, K. Talwar, and L. Zhang. CoRR, (2017)Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings.V. Suriyakumar, N. Papernot, A. Goldenberg, and M. Ghassemi. CoRR, (2020)Private Multi-Winner Voting for Machine Learning.A. Dziedzic, C. Choquette-Choo, N. Dullerud, V. Suriyakumar, A. Shamsabadi, M. Kaleem, S. Jha, N. Papernot, and X. Wang. Proc. Priv. Enhancing Technol., 2023 (1): 527-555 (January 2023)Robust and Actively Secure Serverless Collaborative Learning.O. Franzese, A. Dziedzic, C. Choquette-Choo, M. Thomas, M. Kaleem, S. Rabanser, C. Fang, S. Jha, N. Papernot, and X. Wang. CoRR, (2023)

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Disambiguation of "Papernot, Nicolas"

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Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Nicolas Haas

Nicolas Rüsch

Nicolas Trapp

Nicolas Simon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Papernot, Nicolas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Nicolas Haas

Nicolas Rüsch

Nicolas Trapp

Nicolas Simon

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.