Alexey Kurakin
Alexey Kurakin
Research Software Engineer, Google Brain
Verified email at - Homepage
Cited by
Cited by
Adversarial examples in the physical world
A Kurakin, I Goodfellow, S Bengio
Adversarial machine learning at scale
A Kurakin, I Goodfellow, S Bengio
arXiv preprint arXiv:1611.01236, 2016
Ensemble adversarial training: Attacks and defenses
F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel
arXiv preprint arXiv:1705.07204, 2017
Large-scale evolution of image classifiers
E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ...
International Conference on Machine Learning, 2902-2911, 2017
A real time system for dynamic hand gesture recognition with a depth sensor
A Kurakin, Z Zhang, Z Liu
2012 Proceedings of the 20th European signal processing conference (EUSIPCO …, 2012
Adversarial logit pairing
H Kannan, A Kurakin, I Goodfellow
arXiv preprint arXiv:1803.06373, 2018
On evaluating adversarial robustness
N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ...
arXiv preprint arXiv:1902.06705, 2019
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ...
arXiv preprint arXiv:2001.07685, 2020
cleverhans v2. 0.0: an adversarial machine learning library
N Papernot, I Goodfellow, R Sheatsley, R Feinman, P McDaniel
arXiv preprint arXiv:1610.00768 10, 2016
Adversarial examples that fool both computer vision and time-limited humans
GF Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ...
arXiv preprint arXiv:1802.08195, 2018
Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
arXiv preprint arXiv:1911.09785, 2019
Technical report on the cleverhans v2. 1.0 adversarial examples library
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768, 2016
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
High accuracy and high fidelity extraction of neural networks
M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot
29th {USENIX} Security Symposium ({USENIX} Security 20), 1345-1362, 2020
Dynamic hand gesture recognition using depth data
Z Zhang, AV Kurakin
US Patent 9,536,135, 2017
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
cleverhans v0. 1: an adversarial machine learning library
I Goodfellow, N Papernot, P McDaniel, R Feinman, F Faghri, A Matyasko, ...
arXiv preprint arXiv:1610.00768 1, 2016
High-fidelity extraction of neural network models
M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot
arXiv preprint arXiv:1909.01838, 2019
Adversarial examples in the physical world. arXiv 2016
A Kurakin, I Goodfellow, S Bengio
arXiv preprint arXiv:1607.02533, 0
Hand geometry analysis by continuous skeletons
L Mestetskiy, I Bakina, A Kurakin
International Conference Image Analysis and Recognition, 130-139, 2011
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