Parseval Networks: Improving Robustness to Adversarial Examples

28 April 2017

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

50 / 487 papers shown

Title
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 16 1 0 22 Sep 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 37 5 0 09 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 14 0 0 31 Aug 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 21 5 0 29 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 22 0 0 17 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 32 35 0 05 Aug 2022
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training Sekitoshi Kanai Shinýa Yamaguchi Masanori Yamada Hiroshi Takahashi Kentaro Ohno Yasutoshi Ida AAML 14 7 0 21 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 28 5 0 12 Jul 2022
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 15 9 0 08 Jul 2022
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing Hanbin Hong Binghui Wang Yuan Hong AAML 19 10 0 05 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 19 17 0 30 Jun 2022
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization Han Huang Jiajia Yu Jie Chen Rongjie Lai AI4CE 6 15 0 30 Jun 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds Kenji Kawaguchi Zhun Deng K. Luh Jiaoyang Huang OOD 19 23 0 27 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 10 6 0 14 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 21 71 0 08 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 22 20 0 07 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 32 6 0 03 Jun 2022
The robust way to stack and bag: the local Lipschitz way Thulasi Tholeti Sheetal Kalyani AAML 13 5 0 01 Jun 2022
Transformer with Fourier Integral Attentions T. Nguyen Minh Pham Tam Nguyen Khai Nguyen Stanley J. Osher Nhat Ho 17 4 0 01 Jun 2022
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport Lingkai Kong Yuqing Wang Molei Tao ODL 17 8 0 27 May 2022
PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes M. Al-Digeil Y. Grinberg D. Melati M. K. Dezfouli J. Schmid P. Cheben S. Janz Danxia Xu 17 2 0 23 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 27 3 0 16 May 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 11 0 0 25 Apr 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 22 3 0 21 Apr 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning Nilaksh Das ShengYun Peng Duen Horng Chau AAML 17 2 0 02 Apr 2022
On the benefits of knowledge distillation for adversarial robustness Javier Maroto Guillermo Ortiz-Jiménez P. Frossard AAML FedML 17 20 0 14 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review Abolfazl Razi Xiwen Chen Huayu Li Hao Wang Brendan J. Russo Yan Chen Hongbin Yu 27 39 0 07 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 32 13 0 26 Feb 2022
Learning Smooth Neural Functions via Lipschitz Regularization Hsueh-Ti Derek Liu Francis Williams Alec Jacobson Sanja Fidler Or Litany 8 96 0 16 Feb 2022
Controlling the Complexity and Lipschitz Constant improves polynomial nets Zhenyu Zhu Fabian Latorre Grigorios G. Chrysos V. Cevher 17 10 0 10 Feb 2022
Adversarial Detection without Model Information Abhishek Moitra Youngeun Kim Priyadarshini Panda AAML 14 1 0 09 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions Maurice Weber Linyi Li Boxin Wang Zhikuan Zhao Bo-wen Li Ce Zhang OOD 21 14 0 03 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip H. S. Torr Grégory Rogez P. Dokania AAML 49 45 0 02 Feb 2022
Regret Minimization with Performative Feedback Meena Jagadeesan Tijana Zrnic Celestine Mendler-Dünner 30 33 0 01 Feb 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANs Yuling Jiao Yang Wang Yunfei Yang 34 19 0 24 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 34 1 0 30 Dec 2021
Improving Robustness with Image Filtering M. Terzi Mattia Carletti Gian Antonio Susto AAML 24 0 0 21 Dec 2021
Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen Jie Li Junchi Yan Ping Li Bin Sheng AAML 35 14 0 21 Dec 2021
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 345 0 15 Dec 2021
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal E. Lei Shirin Saeedi Bidokhti 11 19 0 14 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users Jiyi Zhang Hansheng Fang W. Tann Ke Xu Chengfang Fang E. Chang AAML 21 3 0 30 Nov 2021
Clustering Effect of (Linearized) Adversarial Robust Models Yang Bai Xin Yan Yong Jiang Shutao Xia Yisen Wang OOD AAML 34 4 0 25 Nov 2021
Local Linearity and Double Descent in Catastrophic Overfitting Varun Sivashankar Nikil Selvam AAML 11 0 0 21 Nov 2021
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks Lijia Yu Xiao-Shan Gao AAML 16 5 0 08 Nov 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 27 76 0 02 Nov 2021
Improving Local Effectiveness for Global robust training Jingyue Lu M. P. Kumar AAML 22 0 0 26 Oct 2021
A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier Blaise Delattre Alexandre Araujo A. Allauzen 37 51 0 25 Oct 2021