Alex Kurakin

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Query Generation

Supervised Learning

Top Venues

USENIX Security Symposium

J. Artif. Intell. Res.

Publications

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)