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Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

G. Elsayed, S. Shankar, B. Cheung, N. Papernot, A. Kurakin, I. Goodfellow, and J. Sohl-Dickstein. NeurIPS, page 3914-3924. (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nicolas Jeanvoine

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

Lothar Nicolas

Nicólás Penzo

Nicolas Swart

Nicolas Bausch

Other publications of authors with the same name

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)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)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)Adversarial Examples in Constrained Domains.R. Sheatsley, N. Papernot, M. Weisman, G. Verma, and P. McDaniel. CoRR, (2020)Generative Extraction of Audio Classifiers for Speaker Identification.T. Afonja, L. Bourtoule, V. Chandrasekaran, S. Oore, and N. Papernot. CoRR, (2022)p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations.A. Dziedzic, S. Rabanser, M. Yaghini, A. Ale, M. Erdogdu, and N. Papernot. CoRR, (2022)Bad Characters: Imperceptible NLP Attacks.N. Boucher, I. Shumailov, R. Anderson, and N. Papernot. CoRR, (2021)On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning.C. Fang, H. Jia, A. Thudi, M. Yaghini, C. Choquette-Choo, N. Dullerud, V. Chandrasekaran, and N. Papernot. CoRR, (2022)

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Disambiguation of "Papernot, Nicolas"

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Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Lothar Nicolas

Nicólás Penzo

Nicolas Swart

Nicolas Bausch

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 Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

Please choose a person to relate this publication to

Nicolas Jeanvoine

Lothar Nicolas

Nicólás Penzo

Nicolas Swart

Nicolas Bausch

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

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.