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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)

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Nicolas Jeanvoine

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

Nicolas Grett

Nicolas Vogel

Nicolas Simon

Nicolas Spethmann

Other publications of authors with the same name

Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.N. Papernot, P. McDaniel, X. Wu, S. Jha, and A. Swami. IEEE Symposium on Security and Privacy, page 582-597. IEEE Computer Society, (2016)Is Federated Learning a Practical PET Yet?F. Boenisch, A. Dziedzic, R. Schuster, A. Shamsabadi, I. Shumailov, and N. Papernot. CoRR, (2023)Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models.H. Duan, A. Dziedzic, N. Papernot, and F. Boenisch. CoRR, (2023)Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility.M. Yaghini, P. Liu, F. Boenisch, and N. Papernot. CoRR, (2023)The Adversarial Implications of Variable-Time Inference.D. Biton, A. Misra, E. Levy, J. Kotak, R. Bitton, R. Schuster, N. Papernot, Y. Elovici, and B. Nassi. AISec@CCS, page 103-114. ACM, (2023)Tubes Among Us: Analog Attack on Automatic Speaker Identification.S. Ahmed, Y. Wani, A. Shamsabadi, M. Yaghini, I. Shumailov, N. Papernot, and K. Fawaz. USENIX Security Symposium, page 265-282. USENIX Association, (2023)Proof-of-Learning is Currently More Broken Than You Think.C. Fang, H. Jia, A. Thudi, M. Yaghini, C. Choquette-Choo, N. Dullerud, V. Chandrasekaran, and N. Papernot. EuroS&P, page 797-816. IEEE, (2023)Unrolling SGD: Understanding Factors Influencing Machine Unlearning.A. Thudi, G. Deza, V. Chandrasekaran, and N. Papernot. EuroS&P, page 303-319. IEEE, (2022)Data-Free Model Extraction.J. Truong, P. Maini, R. Walls, and N. Papernot. CVPR, page 4771-4780. Computer Vision Foundation / IEEE, (2021)Architectural Backdoors in Neural Networks.M. Bober-Irizar, I. Shumailov, Y. Zhao, R. Mullins, and N. Papernot. CVPR, page 24595-24604. IEEE, (2023)

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Disambiguation of "Papernot, Nicolas"

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Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Nicolas Grett

Nicolas Vogel

Nicolas Simon

Nicolas Spethmann

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 Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Nicolas Grett

Nicolas Vogel

Nicolas Simon

Nicolas Spethmann

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

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data.