Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection

8 February 2023

Papers citing "Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection"

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Title
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 61 10 0 30 Apr 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning Rundong Luo Yifei Wang Yisen Wang 41 26 0 02 Mar 2023
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 82 60 0 27 Oct 2022
Adversarial Coreset Selection for Efficient Robust Training H. M. Dolatabadi S. Erfani C. Leckie AAML 24 7 0 13 Sep 2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness Chaoning Zhang Kang Zhang Chenshuang Zhang Axi Niu Jiu Feng Chang D. Yoo In So Kweon SSL 45 25 0 22 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 46 23 0 18 Jul 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Yue Liu 34 12 0 03 Feb 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization Yihua Zhang Guanhua Zhang Prashant Khanduri Min-Fong Hong Shiyu Chang Sijia Liu AAML 57 87 0 23 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 32 121 0 01 Nov 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 46 81 0 14 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 263 692 0 22 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 89 1,837 0 05 Apr 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 101 197 0 27 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 36 205 0 19 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 128 3,992 0 20 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 57 230 0 26 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 29 142 0 22 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 113 40,217 0 22 Oct 2020
Representation Learning via Invariant Causal Mechanisms Jovana Mitrović Brian McWilliams Jacob Walker Lars Buesing Charles Blundell CML OOD SSL 44 248 0 15 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 197 697 0 10 Oct 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 44 423 0 16 Jul 2020
Understanding and Improving Fast Adversarial Training Maksym Andriushchenko Nicolas Flammarion AAML 43 286 0 06 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 210 6,718 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 42 249 0 13 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 300 41,106 0 28 May 2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation Jiahua Dong Yang Cong Gan Sun Bineng Zhong Xiaowei Xu 28 138 0 24 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 167 1,821 0 03 Mar 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 37 400 0 26 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 100 18,523 0 13 Feb 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 112 1,167 0 12 Jan 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 39 977 0 29 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 49 564 0 21 Nov 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 47 432 0 01 Oct 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 34 230 0 24 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 65 482 0 03 Jul 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 41 333 0 31 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 93 1,238 0 29 Apr 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 43 726 0 28 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 81 2,525 0 24 Jan 2019
Non-submodular Function Maximization subject to a Matroid Constraint, with Applications Khashayar Gatmiry Manuel Gomez Rodriguez 39 7 0 19 Nov 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 131 3,171 0 01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 166 11,962 0 19 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 96 2,724 0 13 Apr 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 170 8,030 0 13 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 468 5,868 0 08 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 166 7,951 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 711 192,638 0 10 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 106 18,922 0 20 Dec 2014
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das David Kempe 66 485 0 19 Feb 2011
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization Daniel Golovin Andreas Krause 114 600 0 21 Mar 2010