Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

Papers citing "Parseval Networks: Improving Robustness to Adversarial Examples"

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Title
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization Christina Runkel Christian Etmann Michael Möller Carola-Bibiane Schönlieb 17 1 0 12 Feb 2021
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons Bohang Zhang Tianle Cai Zhou Lu Di He Liwei Wang OOD 37 49 0 10 Feb 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection Hanshu Yan Jingfeng Zhang Gang Niu Jiashi Feng Vincent Y. F. Tan Masashi Sugiyama AAML 16 41 0 10 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng Chenhui Deng Zhiqiang Zhao Yaohui Cai Zhiru Zhang Zhuo Feng AAML 14 13 0 07 Feb 2021
Noise Optimization for Artificial Neural Networks Li Xiao Zeliang Zhang Yijie Peng 31 13 0 06 Feb 2021
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks Pei-Chang Guo 11 0 0 05 Feb 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 30 54 0 24 Jan 2021
Fundamental Tradeoffs in Distributionally Adversarial Training M. Mehrabi Adel Javanmard Ryan A. Rossi Anup B. Rao Tung Mai AAML 20 17 0 15 Jan 2021
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks Rachel Sterneck Abhishek Moitra Priyadarshini Panda AAML 11 8 0 05 Jan 2021
Improving Adversarial Robustness in Weight-quantized Neural Networks Chang Song Elias Fallon Hai Helen Li AAML 11 19 0 29 Dec 2020
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 19 16 0 28 Dec 2020
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach Xuefei Ning J. Zhao Wenshuo Li Tianchen Zhao Yin Zheng Huazhong Yang Yu Wang AAML 34 5 0 22 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks Qingsong Yao Zecheng He Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou AAML MedIm 27 16 0 17 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber A. Gretton S. Mohamed AAML 25 48 0 14 Dec 2020
Regularizing Action Policies for Smooth Control with Reinforcement Learning Siddharth Mysore B. Mabsout R. Mancuso Kate Saenko 26 67 0 11 Dec 2020
Data-Dependent Randomized Smoothing Motasem Alfarra Adel Bibi Philip H. S. Torr Bernard Ghanem UQCV 23 34 0 08 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 30 0 0 07 Dec 2020
Towards Natural Robustness Against Adversarial Examples Haoyu Chu Shikui Wei Yao-Min Zhao AAML 9 1 0 04 Dec 2020
$Towards Defending Multiple $\ell_p$-norm Bounded Adversarial Perturbations via Gated Batch Normalization$ Towards Defending Multiple $\ell_p$ -norm Bounded Adversarial Perturbations via Gated Batch Normalization Aishan Liu Shiyu Tang Xinyun Chen Lei Huang Zhuozhuo Tu Xianglong Liu Dacheng Tao AAML 27 31 0 03 Dec 2020
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation Nikhil Kapoor Andreas Bär Serin Varghese Jan David Schneider Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 8 10 0 02 Dec 2020
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks Abhishek Moitra Priyadarshini Panda AAML 11 2 0 26 Nov 2020
Adversarially Robust Classification based on GLRT Bhagyashree Puranik Upamanyu Madhow Ramtin Pedarsani VLM AAML 6 4 0 16 Nov 2020
Representing Deep Neural Networks Latent Space Geometries with Graphs Carlos Lassance Vincent Gripon Antonio Ortega AI4CE 14 15 0 14 Nov 2020
Risk Assessment for Machine Learning Models Paul Schwerdtner Florens Greßner Nikhil Kapoor F. Assion René Sass W. Günther Fabian Hüger Peter Schlicht 6 6 0 09 Nov 2020
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Jingyi He Kc Tsiolis Kian Kenyon-Dean Jackie C.K. Cheung 67 7 0 05 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 23 45 0 28 Oct 2020
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks Zhiqi Bu Shiyun Xu Kan Chen 19 17 0 25 Oct 2020
Adversarial Robustness of Supervised Sparse Coding Jeremias Sulam Ramchandran Muthumukar R. Arora AAML 26 23 0 22 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 12 0 0 22 Oct 2020
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 53 22 0 19 Oct 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 12 7 0 18 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning Fan Mo Anastasia Borovykh Mohammad Malekzadeh Hamed Haddadi Soteris Demetriou FedML 12 31 0 17 Oct 2020
Multi-Adversarial Learning for Cross-Lingual Word Embeddings Haozhou Wang James Henderson Paola Merlo GAN 45 8 0 16 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers Christoph Kamann Burkhard Güssefeld Robin Hutmacher J. H. Metzen Carsten Rother 8 18 0 12 Oct 2020
Constraining Logits by Bounded Function for Adversarial Robustness Sekitoshi Kanai Masanori Yamada Shinýa Yamaguchi Hiroshi Takahashi Yasutoshi Ida AAML 6 4 0 06 Oct 2020
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior Zi Lin Jeremiah Zhe Liu Ziao Yang Nan Hua Dan Roth 25 46 0 05 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 6 95 0 03 Oct 2020
Lipschitz neural networks are dense in the set of all Lipschitz functions Stephan Eckstein 12 6 0 29 Sep 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients Yifei Huang Yaodong Yu Hongyang R. Zhang Yi-An Ma Yuan Yao AAML 29 26 0 28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 10 254 0 27 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 6 11 0 17 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 9 12 0 14 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
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 34 48 0 02 Sep 2020
Privacy Preserving Recalibration under Domain Shift Rachel Luo Shengjia Zhao Jiaming Song Jonathan Kuck Stefano Ermon Silvio Savarese 6 3 0 21 Aug 2020
On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks J. E. Grigsby Kathryn A. Lindsey 8 26 0 20 Aug 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training V. Papyan Xuemei Han D. Donoho 19 545 0 18 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations Ziquan Liu Yufei Cui Antoni B. Chan 12 13 0 07 Aug 2020
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks Haoqiang Guo Lu Peng Jian Zhang Fang Qi Lide Duan AAML 6 6 0 03 Aug 2020