Alexey Kurakin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 33

Top Topics

Differential Privacy

Differentially Private

Top Venues

Trans. Mach. Learn. Res.

Publications

Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. NAACL-HLT (2024)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Diffusion Denoising as a Certified Defense against Clean-label Poisoning. CoRR (2024)
Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
Private prediction for large-scale synthetic text generation. CoRR (2024)
Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR (2024)
Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky
Differentially Private Image Classification from Features. Trans. Mach. Learn. Res. 2023 (2023)
Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin
RetVec: Resilient and Efficient Text Vectorizer. CoRR (2023)
Alexey Kurakin, Natalia Ponomareva, Umar Syed, Liam MacDermed, Andreas Terzis
Harnessing large-language models to generate private synthetic text. CoRR (2023)
Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky
Towards Large Scale Transfer Learning for Differentially Private Image Classification. Trans. Mach. Learn. Res. 2023 (2023)
Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin
RETVec: Resilient and Efficient Text Vectorizer. NeurIPS (2023)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Publishing Efficient On-device Models Increases Adversarial Vulnerability. SaTML (2023)
Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang
How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. KDD (2023)
Harsh Mehta, Walid Krichene, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
Differentially Private Image Classification from Features. CoRR (2022)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Handcrafted Backdoors in Deep Neural Networks. NeurIPS (2022)
Alexey Kurakin, Steve Chien, Shuang Song, Roxana Geambasu, Andreas Terzis, Abhradeep Thakurta
Toward Training at ImageNet Scale with Differential Privacy. CoRR (2022)
Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
Large Scale Transfer Learning for Differentially Private Image Classification. CoRR (2022)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Publishing Efficient On-device Models Increases Adversarial Vulnerability. CoRR (2022)
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR (2022)
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
Handcrafted Backdoors in Deep Neural Networks. CoRR (2021)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR (2020)
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS (2020)
Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS (2020)
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin
On Evaluating Adversarial Robustness. CoRR (2019)
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. NeurIPS (2018)
Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge
Adversarial Vision Challenge. CoRR (2018)
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, Patrick D. McDaniel
Ensemble Adversarial Training: Attacks and Defenses. ICLR (Poster) (2018)
Harini Kannan, Alexey Kurakin, Ian J. Goodfellow
Adversarial Logit Pairing. CoRR (2018)
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, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
Adversarial Attacks and Defences Competition. CoRR (2018)
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin
Large-Scale Evolution of Image Classifiers. ICML (2017)
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Dan Boneh, Patrick D. McDaniel
Ensemble Adversarial Training: Attacks and Defenses. CoRR (2017)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
Adversarial Machine Learning at Scale. ICLR (Poster) (2017)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
Adversarial examples in the physical world. ICLR (Workshop) (2017)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
Adversarial examples in the physical world. CoRR (2016)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
Adversarial Machine Learning at Scale. CoRR (2016)
Leonid M. Mestetskiy, Irina Bakina, Alexey Kurakin
Hand Geometry Analysis by Continuous Skeletons. ICIAR (2) (2011)
Alexey Kurakin, Leonid M. Mestetskiy
Hand Gesture Recognition through On-line Skeletonization - Application of Continuous Skeleton to Real-time Shape Analysis. VISAPP (2011)