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, IJ Goodfellow, S Bengio
Artificial intelligence safety and security, 99-112, 2018
Adversarial machine learning at scale
A Kurakin, I Goodfellow, S Bengio
arXiv preprint arXiv:1611.01236, 2016
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, N Carlini, Z Zhang, H Zhang, CA Raffel, ED Cubuk, ...
Advances in neural information processing systems 33, 596-608, 2020
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
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
On evaluating adversarial robustness
N Carlini, A Athalye, N Papernot, W Brendel, J Rauber, D Tsipras, ...
arXiv preprint arXiv:1902.06705, 2019
Adversarial logit pairing
H Kannan, A Kurakin, I Goodfellow
arXiv preprint arXiv:1803.06373, 2018
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
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
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
Adversarial examples that fool both computer vision and time-limited humans
G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ...
Advances in neural information processing systems 31, 2018
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
Adamatch: A unified approach to semi-supervised learning and domain adaptation
D Berthelot, R Roelofs, K Sohn, N Carlini, A Kurakin
arXiv preprint arXiv:2106.04732, 2021
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ...
Advances in Neural Information Processing Systems 33, 5318-5331, 2020
Adversarial examples in the physical world. arXiv 2016
A Kurakin, I Goodfellow, S Bengio
arXiv preprint arXiv:1607.02533, 2016
How to dp-fy ml: A practical guide to machine learning with differential privacy
N Ponomareva, H Hazimeh, A Kurakin, Z Xu, C Denison, HB McMahan, ...
Journal of Artificial Intelligence Research 77, 1113-1201, 2023
cleverhans v0. 1: an adversarial machine learning library
I Goodfellow, N Papernot, PD McDaniel, R Feinman, F Faghri, A Matyasko, ...
arXiv preprint arXiv:1610.00768 1, 7, 2016
Toward training at imagenet scale with differential privacy
A Kurakin, S Song, S Chien, R Geambasu, A Terzis, A Thakurta
arXiv preprint arXiv:2201.12328, 2022
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
The system can't perform the operation now. Try again later.
Articles 1–20