Geometric robustness of deep networks: analysis and improvement

24 November 2017

Can Kanbak

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Geometric robustness of deep networks: analysis and improvement"

29 / 79 papers shown

Title
Efficient Certification of Spatial Robustness Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 13 25 0 19 Sep 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 8 118 0 15 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 22 73 0 07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 6 32 0 06 Aug 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation C. L. P. Chen C. Qin Huaqi Qiu C. Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 23 82 0 23 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 35 42 0 20 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 6 91 0 05 May 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 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 50 63 0 02 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev AAML 10 66 0 27 Feb 2020
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 8 57 0 06 Dec 2019
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan V. Oseledets Zheng-Wei Zhang AAML 24 25 0 29 Oct 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 23 199 0 11 Sep 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 12 42 0 26 Jun 2019
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 10 82 0 05 Jun 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 14 596 0 14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 37 1,649 0 13 Feb 2019
Perception-in-the-Loop Adversarial Examples Mahmoud Salamati Sadegh Soudjani R. Majumdar AAML 11 2 0 21 Jan 2019
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness Magdalini Paschali Walter Simson Abhijit Guha Roy Muhammad Ferjad Naeem Rudiger Gobl Christian Wachinger Nassir Navab AAML 14 21 0 14 Jan 2019
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 16 96 0 29 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 6 197 0 06 Nov 2018
Cost-Sensitive Robustness against Adversarial Examples Xiao Zhang David E. Evans AAML 19 25 0 22 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 15 49 0 02 Oct 2018
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs Avraham Ruderman Neil C. Rabinowitz Ari S. Morcos Daniel Zoran 6 41 0 12 Apr 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 8 137 0 27 Feb 2018
Divide, Denoise, and Defend against Adversarial Attacks Seyed-Mohsen Moosavi-Dezfooli A. Shrivastava Oncel Tuzel AAML 22 45 0 19 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations Beranger Dumont Simona Maggio Pablo Montalvo AAML 8 23 0 19 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Saeed Mian AAML 22 1,854 0 02 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 13 191 0 31 Dec 2017