Adversarial Examples for Semantic Segmentation and Object Detection

24 March 2017

Cihang Xie

Papers citing "Adversarial Examples for Semantic Segmentation and Object Detection"

50 / 175 papers shown

Title
DPAttack: Diffused Patch Attacks against Universal Object Detection Shudeng Wu Tao Dai Shutao Xia AAML 21 26 0 16 Oct 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients Yifei Huang Yaodong Yu Hongyang R. Zhang Yi Ma Yuan Yao AAML 37 26 0 28 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 47 48 0 02 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks Haoqiang Guo Lu Peng Jian Zhang Fang Qi Lide Duan AAML 19 6 0 03 Aug 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 138 0 14 Jul 2020
Provably robust deep generative models Filipe Condessa Zico Kolter AAML OOD 14 5 0 22 Apr 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 37 15 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 29 10 0 25 Feb 2020
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 22 23 0 22 Feb 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 15 53 0 13 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Bo Li AAML 31 49 0 11 Jan 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 21 49 0 20 Dec 2019
Design and Interpretation of Universal Adversarial Patches in Face Detection Xiao Yang Fangyun Wei Hongyang R. Zhang Jun Zhu AAML CVBM 52 43 0 30 Nov 2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 24 81 0 22 Nov 2019
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling Jing Li P. Le Callet AAML FedML 22 30 0 18 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks Rong Huang Fuming Fang H. Nguyen Junichi Yamagishi Isao Echizen AAML 19 6 0 02 Nov 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 58 101 0 16 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 104 19 0 08 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection Aniruddha Saha Akshayvarun Subramanya Koninika Patil Hamed Pirsiavash ObjD AAML 32 53 0 30 Sep 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models Haochen Liu Tyler Derr Zitao Liu Jiliang Tang 31 16 0 13 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 143 162 0 10 Sep 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Seungju Cho Tae Joon Jun Byungsoo Oh Daeyoung Kim 27 31 0 14 Aug 2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation Utku Ozbulak Arnout Van Messem W. D. Neve MedIm AAML 20 60 0 30 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 25 130 0 24 Jul 2019
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN Guoping Zhao Mingyu Zhang Jiajun Liu Ji-Rong Wen AAML GAN 22 25 0 12 Jul 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 29 5 0 26 Jun 2019
On Physical Adversarial Patches for Object Detection Mark Lee Zico Kolter AAML 19 166 0 20 Jun 2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer Christian Cosgrove Alan Yuille AAML GAN 28 12 0 02 Jun 2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking Yunhan Jia Yantao Lu Junjie Shen Qi Alfred Chen Zhenyu Zhong Tao Wei AAML VOT 13 33 0 27 May 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks Haofeng Li Guanbin Li Yizhou Yu AAML 16 28 0 09 May 2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey Wenguan Wang Qiuxia Lai Huazhu Fu Jianbing Shen Haibin Ling Ruigang Yang 43 610 0 19 Apr 2019
Adversarial Out-domain Examples for Generative Models Dario Pasquini Marco Mingione M. Bernaschi WIGM SILM AAML 23 6 0 07 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Yixuan Li D. Mahajan AAML 33 64 0 05 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 31 40 0 03 Mar 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 30 40 0 06 Feb 2019
Adversarial Metric Attack and Defense for Person Re-identification S. Bai Yingwei Li Yuyin Zhou Qizhu Li Philip Torr AAML 13 17 0 30 Jan 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 42 136 0 09 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Bo Li Feng Yu M. Liu D. Song AAML 19 99 0 11 Oct 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 14 105 0 16 Sep 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer Alvin Chan Lei Ma Felix Juefei Xu Xiaofei Xie Yang Liu Yew-Soon Ong OOD AAML 22 17 0 07 Sep 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 40 389 0 05 Aug 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 25 22 0 18 Jul 2018
Auto-Context R-CNN Bo Li Tianfu Wu Lun Zhang Rufeng Chu ObjD 27 8 0 08 Jul 2018