Towards Robust Neural Networks via Random Self-ensemble

2 December 2017

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

50 / 242 papers shown

Title
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 16 22 0 15 Oct 2020
Towards Resistant Audio Adversarial Examples Tom Dörr Karla Markert Nicolas M. Muller Konstantin Böttinger AAML 17 7 0 14 Oct 2020
Higher-Order Certification for Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 15 44 0 13 Oct 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 21 1 0 28 Sep 2020
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness Tuan-Anh Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML FedML 18 11 0 21 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 19 11 0 21 Sep 2020
A Progressive Sub-Network Searching Framework for Dynamic Inference Li Yang Zhezhi He Yu Cao Deliang Fan AI4CE 4 6 0 11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 22 155 0 08 Sep 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 20 19 0 25 Aug 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 14 22 0 13 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 23 131 0 01 Jul 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 22 152 0 25 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 31 48 0 20 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 11 210 0 19 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 11 37 0 13 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla S. Feizi AAML 14 60 0 01 Jun 2020
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack Hakmin Lee Hong Joo Lee S. T. Kim Yong Man Ro FedML OOD AAML 8 10 0 21 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 27 146 0 20 May 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images Yixing Huang Alexander Preuhs M. Manhart G. Lauritsch Andreas K. Maier MedIm 19 5 0 20 May 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling Chizhou Liu Yunzhen Feng Ranran Wang Bin Dong AAML 8 12 0 19 May 2020
A Mixture of $h-1$ Heads is Better than $h$ Heads Hao Peng Roy Schwartz Dianqi Li Noah A. Smith MoE 27 32 0 13 May 2020
Noisy Differentiable Architecture Search Xiangxiang Chu Bo-Wen Zhang 12 41 0 07 May 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 35 22 0 30 Apr 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 6 4 0 24 Mar 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Bo-wen Li AAML 6 161 0 19 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 37 23 0 04 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 12 6 0 03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 52 63 0 02 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev AAML 12 66 0 27 Feb 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 28 38 0 26 Feb 2020
Towards Rapid and Robust Adversarial Training with One-Step Attacks Leo Schwinn René Raab Björn Eskofier AAML 25 6 0 24 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework Dinghuai Zhang Mao Ye Chengyue Gong Zhanxing Zhu Qiang Liu AAML 17 62 0 21 Feb 2020
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks Xiao Wang Siyue Wang Pin-Yu Chen X. Lin Peter Chin AAML 8 3 0 19 Feb 2020
Randomized Smoothing of All Shapes and Sizes Greg Yang Tony Duan J. E. Hu Hadi Salman Ilya P. Razenshteyn Jungshian Li AAML 13 207 0 19 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
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 26 203 0 12 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 83 83 0 09 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 16 1 0 08 Feb 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 14 8 0 21 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 14 177 0 08 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 29 81 0 02 Jan 2020
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 23 36 0 26 Dec 2019
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia Xiaoyu Cao Binghui Wang Neil Zhenqiang Gong AAML 24 92 0 20 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 11 6 0 19 Dec 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 19 19 0 25 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 11 2 0 17 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 17 31 0 11 Nov 2019
Enhancing Certifiable Robustness via a Deep Model Ensemble Huan Zhang Minhao Cheng Cho-Jui Hsieh 25 9 0 31 Oct 2019
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers? Simran Kaur Jeremy M. Cohen Zachary Chase Lipton OOD AAML 17 64 0 18 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 52 101 0 16 Oct 2019