Relevance Attack on Detectors

16 August 2020

Xiaolin Huang

Papers citing "Relevance Attack on Detectors"

50 / 50 papers shown

Title
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 153 198 0 01 Mar 2021
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks Yanghao Zhang Fu Lee Wang Wenjie Ruan AAML 61 10 0 04 Jan 2021
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers Arka Ghosh S. S. Mullick Shounak Datta Swagatam Das R. Mallipeddi A. Das AAML 18 37 0 24 Apr 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 44 312 0 14 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 33 104 0 16 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 76 42,038 0 03 Dec 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 52 4,996 0 20 Nov 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 87 264 0 31 Oct 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 148 163 0 10 Sep 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 43 562 0 17 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Brian Kenji Iwana Ryohei Kuroki S. Uchida FAtt 35 96 0 06 Aug 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 77 130 0 24 Jul 2019
Mimic and Fool: A Task Agnostic Adversarial Attack Akshay Chaturvedi Utpal Garain AAML 25 26 0 11 Jun 2019
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan Fahad Shahbaz Khan Fatih Porikli AAML 43 145 0 28 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 66 161 0 23 May 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 84 567 0 18 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 58 836 0 05 Apr 2019
Adversarial Attacks on Time Series Fazle Karim Somshubra Majumdar H. Darabi AI4TS 25 98 0 27 Feb 2019
Hybrid Task Cascade for Instance Segmentation Kai-xiang Chen Jiangmiao Pang Jiaqi Wang Yu Xiong Xiaoxiao Li ... Ziwei Liu Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin ISeg 90 1,295 0 22 Jan 2019
Understanding Individual Decisions of CNNs via Contrastive Backpropagation Jindong Gu Yinchong Yang Volker Tresp FAtt 19 94 0 05 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 51 169 0 03 Dec 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 37 31 0 16 Sep 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 26 105 0 16 Sep 2018
iNNvestigate neural networks! Maximilian Alber Sebastian Lapuschkin P. Seegerer Miriam Hagele Kristof T. Schütt G. Montavon Wojciech Samek K. Müller Sven Dähne Pieter-Jan Kindermans 41 348 0 13 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 71 390 0 05 Aug 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 28 21,306 0 08 Apr 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 68 1,108 0 19 Mar 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 68 205 0 24 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 53 1,335 0 12 Dec 2017
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 44 144 0 07 Dec 2017
Cascade R-CNN: Delving into High Quality Object Detection Zhaowei Cai Nuno Vasconcelos ObjD 92 4,885 0 03 Dec 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 91 861 0 29 Oct 2017
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 88 2,311 0 24 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 175 11,962 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 149 2,712 0 19 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 50 3,848 0 10 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 76 928 0 24 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 224 27,018 0 20 Mar 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 103 1,727 0 08 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 156 19,796 0 07 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 146 8,497 0 16 Aug 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 24 3,656 0 08 Feb 2016
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 106 29,646 0 08 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 275 27,231 0 02 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 321 61,900 0 04 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 110 18,922 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 121 43,290 0 01 May 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 68 14,831 1 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 68 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 99 15,825 0 12 Nov 2013