From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

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

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Andriy Kurakin

Transport and noise properties of AlGaN/GaN heterostructures for high-frequency applicationsA. Kurakin. TU Dortmund, (2007)

Alexey Mikaberidze

Alexey Shaytan

Alexey Dashevsky

Alexey Novikov

Другие публикации лиц с тем же именем

Handcrafted Backdoors in Deep Neural Networks.S. Hong, N. Carlini, и A. Kurakin. NeurIPS, (2022)Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.S. Dathathri, K. Dvijotham, A. Kurakin, A. Raghunathan, J. Uesato, R. Bunel, S. Shankar, J. Steinhardt, I. Goodfellow, P. Liang и 1 other автор(ы). NeurIPS, (2020)Diffusion Denoising as a Certified Defense against Clean-label Poisoning.S. Hong, N. Carlini, и A. Kurakin. CoRR, (2024)Hand Gesture Recognition through On-line Skeletonization - Application of Continuous Skeleton to Real-time Shape Analysis.A. Kurakin, и L. Mestetskiy. VISAPP, стр. 555-560. SciTePress, (2011)AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.D. Berthelot, R. Roelofs, K. Sohn, N. Carlini, и A. Kurakin. ICLR, OpenReview.net, (2022)FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.K. Sohn, D. Berthelot, N. Carlini, Z. Zhang, H. Zhang, C. Raffel, E. Cubuk, A. Kurakin, и C. Li. NeurIPS, (2020)Ensemble Adversarial Training: Attacks and Defenses.F. Tramèr, A. Kurakin, N. Papernot, I. Goodfellow, D. Boneh, и P. McDaniel. ICLR (Poster), OpenReview.net, (2018)How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy.N. Ponomareva, S. Vassilvitskii, Z. Xu, B. McMahan, A. Kurakin, и C. Zhang. KDD, стр. 5823-5824. ACM, (2023)Adversarial examples in the physical world.A. Kurakin, I. Goodfellow, и S. Bengio. ICLR (Workshop), OpenReview.net, (2017)Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.G. Elsayed, S. Shankar, B. Cheung, N. Papernot, A. Kurakin, I. Goodfellow, и J. Sohl-Dickstein. NeurIPS, стр. 3914-3924. (2018)