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 28 0 0 23 Aug 2024
Single Character Perturbations Break LLM Alignment Leon Lin Hannah Brown Kenji Kawaguchi Michael Shieh AAML 99 2 0 03 Jul 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini M. Wyart BDL 26 7 0 16 Apr 2024
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching Mengda Xie Yiling He Meie Fang AAML 23 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 18 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 25 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 21 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 22 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 23 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 19 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 14 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 28 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 33 9 0 04 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 18 10 0 29 Sep 2022
Provable Defense Against Geometric Transformations Rem Yang Jacob S. Laurel Sasa Misailovic Gagandeep Singh AAML 17 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 27 37 0 22 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 22 15 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 10 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 10 3 0 09 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 18 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 26 10 0 16 Jan 2022
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 18 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 43 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 41 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 19 15 0 13 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 54 40 0 07 Aug 2021
DeformRS: Certifying Input Deformations with Randomized Smoothing Motasem Alfarra Adel Bibi Naeemullah Khan Philip H. S. Torr Bernard Ghanem 8 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 32 40 0 07 Jun 2021
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 4 2 0 10 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 23 15 0 06 May 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 11 2 0 21 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 33 8 0 13 Mar 2021
Deep Learning Generalization and the Convex Hull of Training Sets Roozbeh Yousefzadeh 12 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 62 59 0 22 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 12 68 0 28 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks L. N. Darlow Stanisław Jastrzębski Amos Storkey 41 24 0 19 Nov 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 19 12 0 12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations Calvin Luo H. Mobahi Samy Bengio AAML 6 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 19 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 11 268 0 05 Oct 2020
Adversarial and Natural Perturbations for General Robustness Sadaf Gulshad J. H. Metzen A. Smeulders AAML OOD 8 3 0 03 Oct 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng Kyunghyun Cho Marzyeh Ghassemi 12 144 0 21 Sep 2020