Alexey Kurakin

Engineer

Google Brain

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I am a research software engineer at Google Brain working on the security and privacy of machine learning. I'm interested both in fundamental research and applied machine learning projects.

Papers23 papers

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Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming

Sumanth Dathathri,Krishnamurthy Dvijotham,Alexey Kurakin,Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar,Jacob Steinhardt,Ian Goodfellow,Percy Liang,Pushmeet Kohli

NIPS 2020, (2020)

EIBibtex

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Kihyuk Sohn,David Berthelot,Nicholas Carlini,Zizhao Zhang,Han Zhang,Colin A Raffel,Ekin Dogus Cubuk,Alexey Kurakin, Chun-Liang Li

NIPS 2020, (2020)

EIBibtex

High Accuracy and High Fidelity Extraction of Neural Networks

Matthew Jagielski,Nicholas Carlini,David Berthelot,Alex Kurakin,Nicolas Papernot

USENIX Security Symposium, pp.1345-1362, (2020)

Cited by30EIBibtex

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Sohn Kihyuk,Berthelot David,Li Chun-Liang,Zhang Zizhao,Carlini Nicholas,Cubuk Ekin D.,Kurakin Alex,Zhang Han,Raffel Colin

neural information processing systems, (2020)

Cited by75Bibtex

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring

David Berthelot,Nicholas Carlini,Ekin D. Cubuk,Alex Kurakin,Kihyuk Sohn,Han Zhang,Colin Raffel

ICLR, (2020)

Cited by60EIBibtex

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Berthelot David,Carlini Nicholas,Cubuk Ekin D.,Kurakin Alex, Sohn Kihyuk,Zhang Han,Raffel Colin

Cited by61Bibtex

High-Fidelity Extraction of Neural Network Models

Jagielski Matthew,Carlini Nicholas,Berthelot David,Kurakin Alex,Papernot Nicolas

Cited by17Bibtex

Adversarial examples influence human visual perception

Gamaleldin F Elsayed, Shreya Shankar, Brian Cheung,Nicolas Papernot,Alexey Kurakin,Ian Goodfellow,Jascha Sohl-Dickstein

Journal of Vision, no. 10 (2019)

Cited by1Bibtex

On Evaluating Adversarial Robustness

Nicholas Carlini, Anish Athalye,Nicolas Papernot,Wieland Brendel, Jonas Rauber, Dimitris Tsipras,Ian J. Goodfellow,Aleksander Madry,Alexey Kurakin

arXiv: Learning, (2019)

Cited by184EIBibtex

Adversarial Vision Challenge

Wieland Brendel, Jonas Rauber,Alexey Kurakin,Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty,Matthias Bethge

CoRR, (2018)

Cited by29EIBibtex

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

Gamaleldin F. Elsayed, Shreya Shankar,Brian Cheung,Nicolas Papernot,Alexey Kurakin,Ian J. Goodfellow,Jascha Sohl-Dickstein

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 3914-3924

Cited by166EIBibtex

Adversarial Attacks and Defences Competition

Alexey Kurakin,Ian J. Goodfellow,Samy Bengio,Yinpeng Dong, Fangzhou Liao, Ming Liang,Tianyu Pang,Jun Zhu,Xiaolin Hu,Cihang Xie,Jianyu Wang,Zhishuai Zhang

arXiv: Computer Vision and Pattern Recognition, (2018)

Cited by125EIBibtex

Ensemble Adversarial Training: Attacks and Defenses

Florian Tramèr,Alexey Kurakin,Nicolas Papernot,Ian J. Goodfellow,Dan Boneh,Patrick D. McDaniel

international conference on learning representations, (2018)

Cited by825Bibtex

Adversarial Logit Pairing

Harini Kannan,Alexey Kurakin,Ian J. Goodfellow

CoRR, (2018)

Cited by27EIBibtex

Introduction to NIPS 2017 Competition Track

Sergio Escalera,Markus Weimer, Mikhail Burtsev, Valentin Malykh, Varvara Logacheva,Ryan Lowe, Iulian Vlad Serban, Yoshua Bengio, Alexander Rudnicky, Alan W Black,Shrimai Prabhumoye, Łukasz Kidziński

The NIPS'17 Competition: Building Intelligent Systems, pp.1-23, (2018)

Cited by1Bibtex

Ensemble Adversarial Training: Attacks and Defenses