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Deep learning models have proven to be successful in a wide range of machine learning tasks.
On evaluating adversarial robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian J. Goodfellow, Aleksander Madry, and Alexey Kurakin · 1902
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ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Adversarially robust neural architectures
Minjing Dong, Yanxi Li, Yunhe Wang, and Chang Xu · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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A downsampled variant of imagenet as an alternative to the CIFAR datasets
Patryk Chrabaszcz, Ilya Loshchilov, and Frank Hutter · 2017
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A study and comparison of human and deep learning recognition performance under visual distortions
Samuel F. Dodge and Lina J. Karam · 2017
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Adversarial machine learning at scale, 2017
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2017
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Foolbox: A python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel, and Matthias Bethge · 2017
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Large-scale evolution of image classifiers
Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V. Le, and Alexey Kurakin · 2017
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V. Le · 2017
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Understanding and simplifying one-shot architecture search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, and Quoc V. Le · 2018
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Neural architecture search with bayesian optimisation and optimal transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabás Póczos, and Eric P. Xing · 2018
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Learning deep generative models of graphs
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, and Peter W. Battaglia · 2018
Cited alongside, same era.
Efficient neural architecture search via parameter sharing
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, and Jeff Dean · 2018
Cited alongside, same era.
Is robustness the cost of accuracy? - a comprehensive study on the robustness of 18 deep image classification models
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, and Yupeng Gao · 2018
Cited alongside, same era.
Proxylessnas: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2019
Cited alongside, same era.
Gradvis: Visualization and second order analysis of optimization surfaces during the training of deep neural networks
Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, and Nicolas R. Gauger · 2019
Cited alongside, same era.
Benchmarking adversarial robustness on image classification
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, and Jun Zhu · 2020
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When NAS meets robustness: In search of robust architectures against adversarial attacks
Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, and Dahua Lin · 2020
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Cihang Xie, Mingxing Tan, Boqing Gong, Alan Loddon Yuille, and Quoc V. Le · 2020
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PC-DARTS: partial channel connections for memory-efficient architecture search
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, and Hongkai Xiong · 2020
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Understanding and robustifying differentiable architecture search
Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, and Frank Hutter · 2020
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Searching for a robust neural architecture in four GPU hours
Xuanyi Dong and Yi Yang · 2019
Cited alongside, same era.
Benchmarking neural network robustness to common corruptions and perturbations
Dan Hendrycks and Thomas Dietterich · 2019
Cited alongside, same era.
Robust learning with jacobian regularization
Judy Hoffman, Daniel A. Roberts, and Sho Yaida · 2019
Cited alongside, same era.
Random search and reproducibility for neural architecture search
Liam Li and Ameet Talwalkar · 2019
Cited alongside, same era.
Deepsec: A uniform platform for security analysis of deep learning model
Xiang Ling, Shouling Ji, Jiaxu Zou, Jiannan Wang, Chunming Wu, Bo Li, and Ting Wang · 2019
Cited alongside, same era.
DARTS: differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2019
Cited alongside, same era.
Regularized evolution for image classifier architecture search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V. Le · 2019
Cited alongside, same era.
Bridging mode connectivity in loss landscapes and adversarial robustness
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, and Xue Lin · 2020
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Robustbench: a standardized adversarial robustness benchmark
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, and Matthias Hein · 2021
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On adversarial robustness: A neural architecture search perspective
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, and Vineeth N. Balasubramanian · 2021
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Transnas-bench-101: Improving transferability and generalizability of cross-task neural architecture search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, and Zhenguo Li · 2021
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DSRNA: differentiable search of robust neural architectures
Ramtin Hosseini, Xingyi Yang, and Pengtao Xie · 2021
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Smooth variational graph embeddings for efficient neural architecture search
Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, and Margret Keuper · 2021
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Advrush: Searching for adversarially robust neural architectures
Jisoo Mok, Byunggook Na, Hyeokjun Choe, and Sungroh Yoon · 2021
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Bag of tricks for adversarial training
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, and Jun Zhu · 2021
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Generative adversarial neural architecture search
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, and Shangling Jui · 2021
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Interpretable neural architecture search via bayesian optimisation with weisfeiler-lehman kernels
Binxin Ru, Xingchen Wan, Xiaowen Dong, and Michael Osborne · 2021
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Robustart: Benchmarking robustness on architecture design and training techniques
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Xiaodong Song, Alan Loddon Yuille, Philip H. S. Torr, and Dacheng Tao · 2021
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Learning where to look - generative NAS is surprisingly efficient
Jovita Lukasik, Steffen Jung, and Margret Keuper · 2022
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