NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

22 December 2024

Papers citing "NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors"

31 / 31 papers shown

Title
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Yufei Song Ziqi Zhou Minghui Li Xiaobei Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu L. Zhang AAML 290 5 0 21 Dec 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou Yufei Song Minghui Li Shengshan Hu Xianlong Wang Leo Yu Zhang Dezhong Yao Hai Jin 91 12 0 26 Sep 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 101 11 0 16 Mar 2024
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World Xingxing Wei Yao Huang Yitong Sun Jie Yu AAML 66 16 0 27 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 111 24 0 15 Jul 2023
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang Ke-Yue Zhang AAML 94 59 0 16 Nov 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 106 104 0 10 Mar 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 83 68 0 17 Feb 2022
TOOD: Task-aligned One-stage Object Detection Chengjian Feng Yujie Zhong Yu Gao Matthew R. Scott Weilin Huang ObjD 86 744 0 17 Aug 2021
Oriented R-CNN for Object Detection Xingxing Xie Gong Cheng Jiabao Wang Xiwen Yao Junwei Han ObjD 174 701 0 12 Aug 2021
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals Pei Sun Rufeng Zhang Yi Jiang Tao Kong Chenfeng Xu ... Masayoshi Tomizuka Lei Li Zehuan Yuan Changhu Wang Ping Luo ObjD 101 1,100 0 25 Nov 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 246 5,102 0 08 Oct 2020
VarifocalNet: An IoU-aware Dense Object Detector Haoyang Zhang Ying Wang Feras Dayoub Niko Sünderhauf ObjD 97 687 0 31 Aug 2020
Gliding vertex on the horizontal bounding box for multi-oriented object detection Yongchao Xu Mingtao Fu Qimeng Wang Yukang Wang Kai Chen Guisong Xia X. Bai ObjD 116 664 0 21 Nov 2019
Cascade R-CNN: High Quality Object Detection and Instance Segmentation Zhaowei Cai Nuno Vasconcelos ObjD 82 1,360 0 24 Jun 2019
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 82 380 0 30 Apr 2019
RepPoints: Point Set Representation for Object Detection Ze Yang Shaohui Liu Han Hu Liwei Wang Stephen Lin 3DPC 106 871 0 25 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 143 5,018 0 02 Apr 2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition Domen Tabernik D. Skočaj 56 251 0 01 Apr 2019
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 62 106 0 16 Sep 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 108 1,125 0 19 Mar 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 197 1,281 0 05 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,138 0 19 Jun 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 109 934 0 24 Mar 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,587 0 16 Aug 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 724 37,033 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 531 62,409 0 04 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 434 43,832 0 01 May 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 291 26,223 0 11 Nov 2013