ADef: an Iterative Algorithm to Construct Adversarial Deformations

20 April 2018

Papers citing "ADef: an Iterative Algorithm to Construct Adversarial Deformations"

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Title
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI N. Shah Ayan Kashyap Shirish S. Karande Vineet Gandhi 52 0 0 20 Jan 2025
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack Zihao Pan Weibin Wu Yuhang Cao Zibin Zheng DiffM AAML 65 1 0 03 Oct 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 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
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 16 0 01 Oct 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 3DPC 36 7 0 29 Aug 2023
Content-based Unrestricted Adversarial Attack Zhaoyu Chen Bo-wen Li Shuang Wu Kaixun Jiang Shouhong Ding Wenqiang Zhang DiffM 29 62 0 18 May 2023
Towards Verifying the Geometric Robustness of Large-scale Neural Networks Fu Lee Wang Peipei Xu Wenjie Ruan Xiaowei Huang AAML 50 10 0 29 Jan 2023
Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen Vésteinn Snaebjarnarson Andrea Dittadi Serge Belongie Sagie Benaim AAML 23 1 0 17 Nov 2022
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
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
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 24 4 0 10 Jun 2022
Stability of the scattering transform for deformations with minimal regularity F. Nicola S. I. Trapasso 21 4 0 23 May 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
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 30 1 0 07 Feb 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 31 20 0 04 Jan 2022
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 26 51 0 09 Dec 2021
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network Yihao Huang Felix Juefei Xu Qing Guo G. Pu Yang Liu GAN 30 3 0 25 Nov 2021
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search Pengfei Xia Ziqiang Li Bin Li AAML 43 3 0 09 Nov 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge Belongie SerNam Lim OOD AAML 16 26 0 06 Sep 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
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 18 16 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 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
Sparta: Spatially Attentive and Adversarially Robust Activation Qing Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 33 4 0 18 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
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 37 11 0 01 Apr 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 17 18 0 30 Mar 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 33 137 0 29 Mar 2021
Generating Unrestricted Adversarial Examples via Three Parameters Hanieh Naderi Leili Goli S. Kasaei 41 8 0 13 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jingyun Liang Jian Chen Mingkui Tan Yang Xiang AAML 24 4 0 13 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jingyun Liang Yifan Zhang Jian Chen Mingkui Tan AAML 37 2 0 13 Mar 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 36 5 0 07 Jan 2021
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions Yuhang Wu Sunpreet S. Arora Yanhong Wu Hao Yang AAML 14 9 0 31 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space Zhengyu Zhao Zhuoran Liu Martha Larson AAML 32 12 0 12 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
Efficient Certification of Spatial Robustness Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 13 25 0 19 Sep 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 30 4 0 29 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 14 32 0 06 Aug 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation Chia-Ju Chen C. Qin Huaqi Qiu Cheng Ouyang Shuo Wang Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 25 82 0 23 Jun 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 91 0 05 May 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 33 397 0 26 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 24 483 0 12 Feb 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks Qing Guo Felix Juefei Xu Xiaofei Xie L. Ma Jian-Xun Wang Bing Yu Wei Feng Yang Liu AAML 30 16 0 10 Feb 2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter Zhengyu Zhao Zhuoran Liu Martha Larson 4 1 0 03 Feb 2020
Detecting and Correcting Adversarial Images Using Image Processing Operations H. Nguyen Minoru Kuribayashi Junichi Yamagishi Isao Echizen AAML 29 1 0 11 Dec 2019
Amora: Black-box Adversarial Morphing Attack Run Wang Felix Juefei Xu Qing Guo Yihao Huang Xiaofei Xie L. Ma Yang Liu AAML 4 44 0 09 Dec 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 37 13 0 20 Nov 2019
Adversarial Transformations for Semi-Supervised Learning Teppei Suzuki Ikuro Sato 14 13 0 13 Nov 2019
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models Ren Pang Hua Shen Xinyang Zhang S. Ji Yevgeniy Vorobeychik Xiaopu Luo Alex Liu Ting Wang AAML 11 2 0 05 Nov 2019