|
+
PDF
Chat
|
Fooling Automated Surveillance Cameras: Adversarial Patches to Attack Person Detection
|
2019
|
Simen Thys
Wiebe Van Ranst
Toon Goedemé
|
5
|
|
+
PDF
Chat
|
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
|
2022
|
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
|
4
|
|
+
PDF
Chat
|
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack
|
2022
|
Donghua Wang
Tingsong Jiang
Jialiang Sun
Weien Zhou
Zhiqiang Gong
Xiaoya Zhang
Wen Yao
Xiaoqian Chen
|
4
|
|
+
PDF
Chat
|
Adversarial Texture for Fooling Person Detectors in the Physical World
|
2022
|
Zhanhao Hu
Siyuan Huang
Xiaopei Zhu
Fuchun Sun
Bo Zhang
Xiaolin Hu
|
4
|
|
+
PDF
Chat
|
Improving Transferability of Adversarial Examples With Input Diversity
|
2019
|
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
|
4
|
|
+
PDF
Chat
|
Adversarial Sticker: A Stealthy Attack Method in the Physical World
|
2022
|
Xingxing Wei
Ying Guo
Jie Yu
|
4
|
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
4
|
|
+
PDF
Chat
|
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
|
2022
|
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
|
4
|
|
+
PDF
Chat
|
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
|
2016
|
Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
|
4
|
|
+
PDF
Chat
|
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
|
2021
|
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
|
4
|
|
+
PDF
Chat
|
Physically Adversarial Infrared Patches with Learnable Shapes and Locations
|
2023
|
Xingxing Wei
Jie Yu
Yao Huang
|
3
|
|
+
PDF
Chat
|
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World
|
2022
|
Xiaopei Zhu
Zhanhao Hu
Siyuan Huang
Jianmin Li
Xiaolin Hu
|
3
|
|
+
PDF
Chat
|
Understanding deep image representations by inverting them
|
2015
|
Aravindh Mahendran
Andrea Vedaldi
|
3
|
|
+
PDF
Chat
|
Universal Physical Camouflage Attacks on Object Detectors
|
2020
|
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
Changqing Zou
Ning Liu
|
3
|
|
+
PDF
Chat
|
The Translucent Patch: A Physical and Universal Attack on Object Detectors
|
2021
|
Alon Zolfi
Moshe Kravchik
Yuval Elovici
Asaf Shabtai
|
3
|
|
+
PDF
Chat
|
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior
|
2021
|
Yinpeng Dong
Shuyu Cheng
Tianyu Pang
Hang Su
Jun Zhu
|
3
|
|
+
PDF
Chat
|
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles
|
2020
|
Ranjie Duan
Xingjun Ma
Yisen Wang
James Bailey
A. K. Qin
Yun Yang
|
3
|
|
+
PDF
Chat
|
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
|
2021
|
Ranjie Duan
Xiaofeng Mao
A. K. Qin
Yuefeng Chen
Shaokai Ye
Yuan He
Yun Yang
|
3
|
|
+
PDF
Chat
|
Libra R-CNN: Towards Balanced Learning for Object Detection
|
2019
|
Jiangmiao Pang
Kai Chen
Jianping Shi
Huajun Feng
Wanli Ouyang
Dahua Lin
|
3
|
|
+
|
None
|
1997
|
Rainer Storn
Kenneth V. Price
|
3
|
|
+
PDF
Chat
|
AdvDrop: Adversarial Attack to DNNs by Dropping Information
|
2021
|
Ranjie Duan
Yuefeng Chen
Dantong Niu
Yun Yang
A. K. Qin
Yuan He
|
3
|
|
+
|
Adversarial Attack with Raindrops
|
2023
|
Jiyuan Liu
Bingyi Lu
Mingkang Xiong
Tao Zhang
Huilin Xiong
|
2
|
|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
2
|
|
+
PDF
Chat
|
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems
|
2023
|
Amira Guesmi
Muhammad Abdullah Hanif
Muhammad Shafique
|
2
|
|
+
PDF
Chat
|
Boosting Adversarial Attacks with Momentum
|
2018
|
Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
|
2
|
|
+
|
Synthesizing Robust Adversarial Examples
|
2017
|
Anish Athalye
Logan Engstrom
Andrew Ilyas
Kevin Kwok
|
2
|
|
+
|
PyTorch: An Imperative Style, High-Performance Deep Learning Library
|
2019
|
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
|
2
|
|
+
|
Adversarial Rain Attack and Defensive Deraining for DNN Perception
|
2020
|
Liming Zhai
Felix Juefei-Xu
Qing Guo
Xiaofei Xie
Лей Ма
Wei Feng
Shengchao Qin
Yang Liu
|
2
|
|
+
PDF
Chat
|
MeshAdv: Adversarial Meshes for Visual Recognition
|
2019
|
Chaowei Xiao
Dawei Yang
Bo Li
Jia Deng
Mingyan Liu
|
2
|
|
+
PDF
Chat
|
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
|
2023
|
Hui Wei
Zhixiang Wang
Xuemei Jia
Yinqiang Zheng
Hao Tang
Shin’ichi Satoh
Zheng Wang
|
2
|
|
+
|
YOLOv3: An Incremental Improvement
|
2018
|
Joseph Redmon
Ali Farhadi
|
2
|
|
+
PDF
Chat
|
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving
|
2022
|
Xingshuo Han
Guowen Xu
Yuan Zhou
Xuehuan Yang
Jiwei Li
Tianwei Zhang
|
2
|
|
+
PDF
Chat
|
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
|
2022
|
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
|
2
|
|
+
PDF
Chat
|
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
|
2022
|
Junyoung Byun
Seungju Cho
Myung-Joon Kwon
Hee-Seon Kim
Changick Kim
|
2
|
|
+
PDF
Chat
|
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs
|
2021
|
Xiaopei Zhu
Xiao Li
Jianmin Li
Zheyao Wang
Xiaolin Hu
|
2
|
|
+
|
YOLOX: Exceeding YOLO Series in 2021
|
2021
|
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
|
2
|
|
+
PDF
Chat
|
One Pixel Attack for Fooling Deep Neural Networks
|
2019
|
Jiawei Su
Danilo Vargas
Kouichi Sakurai
|
2
|
|
+
PDF
Chat
|
ColorFool: Semantic Adversarial Colorization
|
2020
|
Ali Shahin Shamsabadi
Ricardo Sánchez-Matilla
Andrea Cavallaro
|
2
|
|
+
PDF
Chat
|
U2-Net: Going deeper with nested U-structure for salient object detection
|
2020
|
Xuebin Qin
Zichen Zhang
Chenyang Huang
Masood Dehghan
Osmar R. Zaı̈ane
Martin Jägersand
|
2
|
|
+
PDF
Chat
|
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance
|
2020
|
Zhengyu Zhao
Zhuoran Liu
Martha Larson
|
2
|
|
+
PDF
Chat
|
Adversarial Examples in the Physical World
|
2018
|
Alexey Kurakin
Ian Goodfellow
Samy Bengio
|
2
|
|
+
PDF
Chat
|
You Only Look One-level Feature
|
2021
|
Qiang Chen
Ying‐Ming Wang
Tong Yang
Xiangyu Zhang
Jian Cheng
Jian Sun
|
2
|
|
+
|
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
|
2016
|
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
|
2
|
|
+
PDF
Chat
|
Focal Loss for Dense Object Detection
|
2017
|
Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
|
2
|
|
+
PDF
Chat
|
Object Detection With Deep Learning: A Review
|
2019
|
Zhong‐Qiu Zhao
Peng Zheng
Shou-Tao Xu
Xindong Wu
|
2
|
|
+
PDF
Chat
|
DTA: Physical Camouflage Attacks using Differentiable Transformation Network
|
2022
|
Naufal Suryanto
Yongsu Kim
Hyoeun Kang
Harashta Tatimma Larasati
Youngyeo Yun
Thi-Thu-Huong Le
Hunmin Yang
Se-Yoon Oh
Howon Kim
|
2
|
|
+
PDF
Chat
|
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
|
2017
|
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
|
2
|
|
+
PDF
Chat
|
Densely Connected Convolutional Networks
|
2017
|
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
|
2
|
|
+
|
Amora: Black-box Adversarial Morphing Attack
|
2020
|
Run Wang
Felix Juefei-Xu
Qing Guo
Yihao Huang
Xiaofei Xie
Lei Ma
Yang Liu
|
2
|
|
+
|
Predictive Uncertainty Estimation via Prior Networks
|
2018
|
Andrey Malinin
Mark Gales
|
1
|