Fast is better than free: Revisiting adversarial training

12 January 2020

J. Zico Kolter

Papers citing "Fast is better than free: Revisiting adversarial training"

33 / 733 papers shown

Title
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 16 50 0 04 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 17 2 0 30 May 2020
Initializing Perturbations in Multiple Directions for Fast Adversarial Training Xunguang Wang S. Xu E. Wang AAML 11 0 0 15 May 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 19 129 0 13 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 6 91 0 05 May 2020
On the Benefits of Models with Perceptually-Aligned Gradients Gunjan Aggarwal Abhishek Sinha Nupur Kumari M. Singh AAML 12 16 0 04 May 2020
Improved Image Wasserstein Attacks and Defenses J. E. Hu Adith Swaminathan Hadi Salman Greg Yang AAML OOD 25 10 0 26 Apr 2020
SOAR: Second-Order Adversarial Regularization A. Ma Fartash Faghri Nicolas Papernot Amir-massoud Farahmand AAML 8 4 0 04 Apr 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection James Tu Mengye Ren S. Manivasagam Ming Liang Binh Yang Richard Du Frank Cheng R. Urtasun 3DPC 12 233 0 01 Apr 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 18 12 0 30 Mar 2020
One Neuron to Fool Them All Anshuman Suri David E. Evans AAML 9 4 0 20 Mar 2020
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing Chawin Sitawarin S. Chakraborty David A. Wagner AAML 9 37 0 18 Mar 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 73 13 0 16 Mar 2020
Manifold Regularization for Locally Stable Deep Neural Networks Charles Jin Martin Rinard AAML 12 15 0 09 Mar 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error Kai Jia Martin Rinard AAML 32 34 0 06 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 40 1,781 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 8 785 0 26 Feb 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 12 396 0 26 Feb 2020
Towards Rapid and Robust Adversarial Training with One-Step Attacks Leo Schwinn René Raab Björn Eskofier AAML 19 6 0 24 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 14 154 0 20 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 19 114 0 17 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 6 121 0 14 Feb 2020
Improving the affordability of robustness training for DNNs Sidharth Gupta Parijat Dube Ashish Verma AAML 14 15 0 11 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 97 0 07 Feb 2020
Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier Xin Wang 11 0 0 02 Jan 2020
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Bernard Ghanem Pablo Arbelaez AAML 9 17 0 11 Dec 2019
Diametrical Risk Minimization: Theory and Computations Matthew Norton J. Royset 22 19 0 24 Oct 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 9 31 0 15 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 36 1,417 0 16 Jul 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad B. Li AAML 23 35 0 09 Jun 2019
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick D. McDaniel AAML 10 2,697 0 19 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016