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"

50 / 79 papers shown

Title
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation Ben Batten Yang Zheng Alessandro De Palma Panagiotis Kouvaros A. Lomuscio AAML 38 0 0 23 Aug 2024
Single Character Perturbations Break LLM Alignment Leon Lin Hannah Brown Kenji Kawaguchi Michael Shieh AAML 146 2 0 03 Jul 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini M. Wyart BDL 41 7 0 16 Apr 2024
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching Mengda Xie Yiling He Meie Fang AAML 31 1 0 27 Nov 2023
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving Ye Li Hanjiang Hu Zuxin Liu Xiaohao Xu Xiaonan Huang Ding Zhao 3DPC 24 8 0 08 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 15 0 01 Oct 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 30 0 0 22 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 28 4 0 09 Sep 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 17 5 0 21 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 35 9 0 16 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing-Wu Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 19 9 0 30 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 45 2 0 31 May 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 36 7 0 25 May 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 27 20 0 17 Nov 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 30 50 0 08 Oct 2022
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition Luke Rowe Benjamin Thérien Krzysztof Czarnecki Hongyang R. Zhang OOD 25 0 0 05 Oct 2022
How deep convolutional neural networks lose spatial information with training Umberto M. Tomasini Leonardo Petrini Francesco Cagnetta M. Wyart 41 9 0 04 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Provable Defense Against Geometric Transformations Rem Yang Jacob S. Laurel Sasa Misailovic Gagandeep Singh AAML 33 15 0 22 Jul 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation Tong Wu Tianhao Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML 39 37 0 22 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations S. Munakata Caterina Urban Haruki Yokoyama Koji Yamamoto Kazuki Munakata AAML 17 4 0 13 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 11 1 0 05 Jul 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 15 3 0 09 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 23 9 0 02 Mar 2022
LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions Brandon Paulsen Chao Wang AAML 28 14 0 31 Jan 2022
ALA: Naturalness-aware Adversarial Lightness Attack Yihao Huang Liangru Sun Qing-Wu Guo Felix Juefei Xu Jiayi Zhu Jincao Feng Yang Liu G. Pu AAML 34 10 0 16 Jan 2022
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 28 0 0 18 Nov 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 49 13 0 03 Oct 2021
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks Mikhail Aleksandrovich Pautov Nurislam Tursynbek Marina Munkhoeva Nikita Muravev Aleksandr Petiushko Ivan V. Oseledets AAML 52 15 0 22 Sep 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning Hong Wang Yuefan Deng Shinjae Yoo Haibin Ling Yuewei Lin AAML 27 15 0 13 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chia-Ju Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra Adel Bibi Naeemullah Khan Philip Torr Guohao Li 16 22 0 02 Jul 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 9 2 0 10 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 38 15 0 06 May 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 21 2 0 21 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 41 8 0 13 Mar 2021
Deep Learning Generalization and the Convex Hull of Training Sets Roozbeh Yousefzadeh 20 20 0 25 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala A. Madry Ashish Kapoor WIGM 64 59 0 22 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 48 24 0 19 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 29 12 0 12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 13 5 0 05 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan S. Kankanhalli AAML 47 269 0 05 Oct 2020
Adversarial and Natural Perturbations for General Robustness Sadaf Gulshad J. H. Metzen A. Smeulders AAML OOD 13 3 0 03 Oct 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng Kyunghyun Cho Marzyeh Ghassemi 25 145 0 21 Sep 2020