Alexey Kurakin

37 papers A* 8Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. SaTML Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2024	J	`jnl`	DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation. CoRR Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora
2024	J	`jnl`	Diffusion Denoising as a Certified Defense against Clean-label Poisoning. CoRR Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2024	—	`conf`	Private prediction for large-scale synthetic text generation. EMNLP (Findings) Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
2024	J	`jnl`	Private prediction for large-scale synthetic text generation. CoRR Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
2024	—	`conf`	Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. NAACL-HLT Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr
2023	J	`jnl`	Differentially Private Image Classification from Features. Trans. Mach. Learn. Res. Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky
2023	J	`jnl`	Harnessing large-language models to generate private synthetic text. CoRR Alexey Kurakin, Natalia Ponomareva, Umar Syed, Liam MacDermed, Andreas Terzis
2023	A*	`conf`	How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. KDD Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang
2023	—	`conf`	Publishing Efficient On-device Models Increases Adversarial Vulnerability. SaTML Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2023	A*	`conf`	RETVec: Resilient and Efficient Text Vectorizer. NeurIPS Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin
2023	J	`jnl`	RetVec: Resilient and Efficient Text Vectorizer. CoRR Elie Bursztein, Marina Zhang, Owen Vallis, Xinyu Jia, Alexey Kurakin
2023	J	`jnl`	Towards Large Scale Transfer Learning for Differentially Private Image Classification. Trans. Mach. Learn. Res. Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky
2022	A*	`conf`	AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. ICLR David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
2022	J	`jnl`	Differentially Private Image Classification from Features. CoRR Harsh Mehta, Walid Krichene, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
2022	A*	`conf`	Handcrafted Backdoors in Deep Neural Networks. NeurIPS Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2022	J	`jnl`	Large Scale Transfer Learning for Differentially Private Image Classification. CoRR Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
2022	J	`jnl`	Publishing Efficient On-device Models Increases Adversarial Vulnerability. CoRR Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2022	J	`jnl`	Toward Training at ImageNet Scale with Differential Privacy. CoRR Alexey Kurakin, Steve Chien, Shuang Song, Roxana Geambasu, Andreas Terzis, Abhradeep Thakurta
2021	J	`jnl`	Handcrafted Backdoors in Deep Neural Networks. CoRR Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
2020	A*	`conf`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	J	`jnl`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	A*	`conf`	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. NeurIPS Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
2019	J	`jnl`	On Evaluating Adversarial Robustness. CoRR Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, Alexey Kurakin
2018	J	`jnl`	Adversarial Attacks and Defences Competition. CoRR 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
2018	A*	`conf`	Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. NeurIPS Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
2018	J	`jnl`	Adversarial Logit Pairing. CoRR Harini Kannan, Alexey Kurakin, Ian J. Goodfellow
2018	J	`jnl`	Adversarial Vision Challenge. CoRR Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar Veliqi, Marcel Salathé, Sharada P. Mohanty, Matthias Bethge
2018	—	`conf`	Ensemble Adversarial Training: Attacks and Defenses. ICLR (Poster) Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, Patrick D. McDaniel
2017	—	`conf`	Adversarial Machine Learning at Scale. ICLR (Poster) Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
2017	—	`conf`	Adversarial examples in the physical world. ICLR (Workshop) Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
2017	J	`jnl`	Ensemble Adversarial Training: Attacks and Defenses. CoRR Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Dan Boneh, Patrick D. McDaniel
2017	A*	`conf`	Large-Scale Evolution of Image Classifiers. ICML Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka I. Leon-Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin
2016	J	`jnl`	Adversarial Machine Learning at Scale. CoRR Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
2016	J	`jnl`	Adversarial examples in the physical world. CoRR Alexey Kurakin, Ian J. Goodfellow, Samy Bengio
2011	—	`conf`	Hand Geometry Analysis by Continuous Skeletons. ICIAR (2) Leonid M. Mestetskiy, Irina Bakina, Alexey Kurakin
2011	—	`conf`	Hand Gesture Recognition through On-line Skeletonization - Application of Continuous Skeleton to Real-time Shape Analysis. VISAPP Alexey Kurakin, Leonid M. Mestetskiy