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Alex Kurakin
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 11
Top Topics
Query Generation
Neural Network
Supervised Learning
High Fidelity
Top Venues
CoRR
USENIX Security Symposium
J. Artif. Intell. Res.
ICLR
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Publications
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Natalia Ponomareva
,
Hussein Hazimeh
,
Alex Kurakin
,
Zheng Xu
,
Carson Denison
,
H. Brendan McMahan
,
Sergei Vassilvitskii
,
Steve Chien
,
Abhradeep Guha Thakurta
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy.
J. Artif. Intell. Res.
77 (2023)
Aldo Gael Carranza
,
Rezsa Farahani
,
Natalia Ponomareva
,
Alex Kurakin
,
Matthew Jagielski
,
Milad Nasr
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.
CoRR
(2023)
Natalia Ponomareva
,
Hussein Hazimeh
,
Alex Kurakin
,
Zheng Xu
,
Carson Denison
,
H. Brendan McMahan
,
Sergei Vassilvitskii
,
Steve Chien
,
Abhradeep Thakurta
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy.
CoRR
(2023)
David Berthelot
,
Rebecca Roelofs
,
Kihyuk Sohn
,
Nicholas Carlini
,
Alex Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.
CoRR
(2021)
Kihyuk Sohn
,
David Berthelot
,
Chun-Liang Li
,
Zizhao Zhang
,
Nicholas Carlini
,
Ekin D. Cubuk
,
Alex Kurakin
,
Han Zhang
,
Colin Raffel
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.
CoRR
(2020)
David Berthelot
,
Nicholas Carlini
,
Ekin D. Cubuk
,
Alex Kurakin
,
Kihyuk Sohn
,
Han Zhang
,
Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring.
ICLR
(2020)
Matthew Jagielski
,
Nicholas Carlini
,
David Berthelot
,
Alex Kurakin
,
Nicolas Papernot
High Accuracy and High Fidelity Extraction of Neural Networks.
USENIX Security Symposium
(2020)
David Berthelot
,
Nicholas Carlini
,
Ekin D. Cubuk
,
Alex Kurakin
,
Kihyuk Sohn
,
Han Zhang
,
Colin Raffel
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.
CoRR
(2019)
Matthew Jagielski
,
Nicholas Carlini
,
David Berthelot
,
Alex Kurakin
,
Nicolas Papernot
High-Fidelity Extraction of Neural Network Models.
CoRR
(2019)
Gamaleldin F. Elsayed
,
Shreya Shankar
,
Brian Cheung
,
Nicolas Papernot
,
Alex Kurakin
,
Ian J. Goodfellow
,
Jascha Sohl-Dickstein
Adversarial Examples that Fool both Human and Computer Vision.
CoRR
(2018)
Esteban Real
,
Sherry Moore
,
Andrew Selle
,
Saurabh Saxena
,
Yutaka Leon Suematsu
,
Quoc V. Le
,
Alex Kurakin
Large-Scale Evolution of Image Classifiers.
CoRR
(2017)