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Towards Robust Deep Neural Networks with BANG

1 December 2016

Terrance E. Boult

Papers citing "Towards Robust Deep Neural Networks with BANG"

33 / 33 papers shown

Title
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Yue Liu Jun Xia Sihang Zhou Xihong Yang K. Liang Chenchen Fan Zhuang Yan Stan Z. Li Xinwang Liu Kunlun He OOD 97 19 0 23 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 78 14 0 17 Oct 2022
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 143 40 0 24 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
Early-exit deep neural networks for distorted images: providing an efficient edge offloading R. G. Pacheco F. Oliveira R. S. Couto 34 18 0 20 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 155 240 0 01 Aug 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 41 0 0 18 Jun 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 81 9 0 24 Feb 2021
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs Nikhil Kapoor C. Yuan Jonas Löhdefink Roland S. Zimmermann Serin Varghese Fabian Hüger Nico M. Schmidt Peter Schlicht Tim Fingscheidt AAML 39 4 0 02 Dec 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 113 73 0 07 Aug 2020
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors Gilad Cohen Guillermo Sapiro Raja Giryes TDI 73 128 0 15 Sep 2019
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples Marcus Soll Tobias Hinz S. Magg S. Wermter AAML 42 22 0 21 Aug 2019
Adversarial Risk Bounds for Neural Networks through Sparsity based Compression E. Balda Arash Behboodi Niklas Koep R. Mathar AAML 69 8 0 03 Jun 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 84 245 0 01 May 2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense Lingyun Jiang Kai Qiao Ruoxi Qin Linyuan Wang Jian Chen Haibing Bu Bin Yan AAML 32 8 0 12 Apr 2019
On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks P. Langenberg E. Balda Arash Behboodi R. Mathar 43 15 0 29 Jan 2019
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 57 3 0 01 Dec 2018
Towards Robust Neural Networks with Lipschitz Continuity Muhammad Usama D. Chang OOD 53 10 0 22 Nov 2018
Improving Adversarial Robustness by Encouraging Discriminative Features Chirag Agarwal Anh Totti Nguyen Dan Schonfeld OOD 59 5 0 01 Nov 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
A New Angle on L2 Regularization T. Tanay Lewis D. Griffin LLMSV 39 5 0 28 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 63 7 0 19 Jun 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 70 23 0 10 Apr 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization Daniel Jakubovitz Raja Giryes AAML 94 210 0 23 Mar 2018
Boundary Optimizing Network (BON) Marco Singh A. Pai 59 0 0 08 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 142 1,872 0 02 Jan 2018
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 89 250 0 30 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 143 866 0 29 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 329 12,161 0 19 Jun 2017
Quality Resilient Deep Neural Networks Samuel F. Dodge Lina Karam OOD 68 46 0 23 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 90 107 0 13 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 126 417 0 08 Mar 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 92 715 0 21 Feb 2017