Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

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

50 / 487 papers shown

Title
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models M. Singh Abhishek Sinha Nupur Kumari Harshitha Machiraju Balaji Krishnamurthy V. Balasubramanian AAML 9 60 0 13 May 2019
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems Kazuya Kakizaki Kosuke Yoshida AAML CVBM 19 19 0 09 May 2019
Generative Model with Dynamic Linear Flow Huadong Liao Jiawei He Kun-xian Shu DRL 17 4 0 08 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle Dinghuai Zhang Tianyuan Zhang Yiping Lu Zhanxing Zhu Bin Dong AAML 9 356 0 02 May 2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks Koby Bibas Yaniv Fogel M. Feder BDL 11 19 0 28 Apr 2019
Analytical Moment Regularizer for Gaussian Robust Networks Modar Alfadly Adel Bibi Bernard Ghanem AAML 11 4 0 24 Apr 2019
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings Haozhou Wang James Henderson Paola Merlo 16 8 0 20 Apr 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 21 201 0 17 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 6 35 0 12 Apr 2019
Universal Lipschitz Approximation in Bounded Depth Neural Networks Jérémy E. Cohen Todd P. Huster Ravid Cohen AAML 14 23 0 09 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 9 151 0 01 Apr 2019
A Provable Defense for Deep Residual Networks M. Mirman Gagandeep Singh Martin Vechev 11 26 0 29 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 16 75 0 25 Mar 2019
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness J. Jacobsen Jens Behrmann Nicholas Carlini Florian Tramèr Nicolas Papernot AAML 11 46 0 25 Mar 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 21 14 0 23 Mar 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models Paul Michel Xian Li Graham Neubig J. Pino AAML 24 136 0 15 Mar 2019
On Certifying Non-uniform Bound against Adversarial Attacks Chen Liu Ryota Tomioka V. Cevher AAML 22 19 0 15 Mar 2019
Detecting Overfitting via Adversarial Examples Roman Werpachowski András Gyorgy Csaba Szepesvári TDI 18 45 0 06 Mar 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 11 19 0 26 Feb 2019
Adversarial attacks hidden in plain sight Jan Philip Göpfert André Artelt H. Wersing Barbara Hammer AAML 14 17 0 25 Feb 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch G. Ding Luyu Wang Xiaomeng Jin 16 180 0 20 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 17 1,990 0 08 Feb 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 20 40 0 06 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 31 82 0 04 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity Yingzhen Yang Jiahui Yu Xingjian Li Jun Huan Thomas S. Huang AI4CE 9 5 0 03 Feb 2019
Deep Learning for Inverse Problems: Bounds and Regularizers Jaweria Amjad Zhaoyang Lyu M. Rodrigues 6 4 0 31 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric P. Xing L. Ghaoui Michael I. Jordan 29 2,491 0 24 Jan 2019
Image Super-Resolution as a Defense Against Adversarial Attacks Aamir Mustafa Salman H. Khan Munawar Hayat Jianbing Shen Ling Shao AAML SupR 19 167 0 07 Jan 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 15 60 0 10 Dec 2018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 16 270 0 06 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 22 471 0 05 Dec 2018
Regularized Ensembles and Transferability in Adversarial Learning Yifan Chen Yevgeniy Vorobeychik AAML 8 2 0 05 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 11 7 0 01 Dec 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness S. Latif R. Rana Junaid Qadir GAN AAML 19 42 0 28 Nov 2018
Robustness via curvature regularization, and vice versa Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 8 318 0 23 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples Hajime Ono Tsubasa Takahashi Kazuya Kakizaki AAML 11 4 0 20 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 29 137 0 19 Nov 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 17 315 0 13 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou M. Guizani AAML 14 23 0 06 Nov 2018
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy Pengcheng Yang Fuli Luo Shuangzhi Wu Jingjing Xu Dongdong Zhang Xu Sun SSL 20 8 0 01 Nov 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 17 14 0 30 Oct 2018
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications Huan Zhang Pengchuan Zhang Cho-Jui Hsieh AAML 22 63 0 28 Oct 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 22 85 0 26 Oct 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 15 3 0 24 Oct 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 12 151 0 23 Oct 2018
Provable Robustness of ReLU networks via Maximization of Linear Regions Francesco Croce Maksym Andriushchenko Matthias Hein 18 166 0 17 Oct 2018
Estimating Information Flow in Deep Neural Networks Ziv Goldfeld E. Berg Kristjan Greenewald Igor Melnyk Nam H. Nguyen Brian Kingsbury Yury Polyanskiy 19 32 0 12 Oct 2018
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 10 7 0 09 Oct 2018
Information Geometry of Orthogonal Initializations and Training Piotr A. Sokól Il-Su Park AI4CE 67 16 0 09 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 17 49 0 02 Oct 2018