Towards Robust Neural Networks via Random Self-ensemble

2 December 2017

Papers citing "Towards Robust Neural Networks via Random Self-ensemble"

42 / 242 papers shown

Title
Noise as a Resource for Learning in Knowledge Distillation Elahe Arani F. Sarfraz Bahram Zonooz 8 6 0 11 Oct 2019
Partial differential equation regularization for supervised machine learning Jillian R. Fisher 24 2 0 03 Oct 2019
An Empirical Investigation of Randomized Defenses against Adversarial Attacks Yannik Potdevin Dirk Nowotka Vijay Ganesh AAML 22 4 0 12 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? Alfred Laugros A. Caplier Matthieu Ospici AAML 12 40 0 04 Sep 2019
Efficient Bidirectional Neural Machine Translation Xu Tan Yingce Xia Lijun Wu Tao Qin 13 3 0 25 Aug 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses Xiao Wang Siyue Wang Pin-Yu Chen Yanzhi Wang Brian Kulis Xue Lin S. Chin AAML 6 42 0 20 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 21 230 0 24 Jul 2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks Haichao Zhang Jianyu Wang 12 4 0 24 Jul 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 23 130 0 24 Jul 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 26 1 0 23 Jul 2019
Convergence of Adversarial Training in Overparametrized Neural Networks Ruiqi Gao Tianle Cai Haochuan Li Liwei Wang Cho-Jui Hsieh J. Lee AAML 13 107 0 19 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang Hongge Chen Chaowei Xiao Sven Gowal Robert Stanforth Bo-wen Li Duane S. Boning Cho-Jui Hsieh AAML 17 343 0 14 Jun 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers Guang-He Lee Yang Yuan Shiyu Chang Tommi Jaakkola AAML 17 122 0 12 Jun 2019
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles M. Kettunen Erik Härkönen J. Lehtinen AAML 16 61 0 10 Jun 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman Greg Yang Jungshian Li Pengchuan Zhang Huan Zhang Ilya P. Razenshteyn Sébastien Bubeck AAML 25 535 0 09 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 20 101 0 08 Jun 2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise Xuanqing Liu Tesi Xiao Si Si Qin Cao Sanjiv Kumar Cho-Jui Hsieh 14 133 0 05 Jun 2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 32 21 0 30 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 17 32 0 26 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks Yandong Li Lijun Li Liqiang Wang Tong Zhang Boqing Gong AAML 15 245 0 01 May 2019
Dropping Pixels for Adversarial Robustness Hossein Hosseini Sreeram Kannan Radha Poovendran 14 16 0 01 May 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 14 654 0 03 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 39 49 0 01 Apr 2019
Robust Neural Networks using Randomized Adversarial Training Alexandre Araujo Laurent Meunier Rafael Pinot Benjamin Négrevergne AAML OOD 17 36 0 25 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 17 1,990 0 08 Feb 2019
Theoretical evidence for adversarial robustness through randomization Rafael Pinot Laurent Meunier Alexandre Araujo H. Kashima Florian Yger Cédric Gouy-Pailler Jamal Atif AAML 36 82 0 04 Feb 2019
Robustness Certificates Against Adversarial Examples for ReLU Networks Sahil Singla S. Feizi AAML 17 21 0 01 Feb 2019
Improving Adversarial Robustness of Ensembles with Diversity Training Sanjay Kariyappa Moinuddin K. Qureshi AAML FedML 12 132 0 28 Jan 2019
On the (In)fidelity and Sensitivity for Explanations Chih-Kuan Yeh Cheng-Yu Hsieh A. Suggala David I. Inouye Pradeep Ravikumar FAtt 28 445 0 27 Jan 2019
Sitatapatra: Blocking the Transfer of Adversarial Samples Ilia Shumailov Xitong Gao Yiren Zhao Robert D. Mullins Ross J. Anderson Chengzhong Xu AAML GAN 12 14 0 23 Jan 2019
The Limitations of Adversarial Training and the Blind-Spot Attack Huan Zhang Hongge Chen Zhao-quan Song Duane S. Boning Inderjit S. Dhillon Cho-Jui Hsieh AAML 12 144 0 15 Jan 2019
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 34 134 0 09 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 188 272 0 03 Dec 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness S. Latif R. Rana Junaid Qadir GAN AAML 21 42 0 28 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 18 118 0 26 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 11 287 0 22 Nov 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding Yao Li Martin Renqiang Min Wenchao Yu Cho-Jui Hsieh T. C. Lee E. Kruus OT 19 7 0 19 Nov 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 16 171 0 01 Oct 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao-quan Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 24 686 0 25 Apr 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 27 924 0 09 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 14 463 0 31 Jan 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016