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REAP: A Large-Scale Realistic Adversarial Patch Benchmark

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

12 December 2022
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David A. Wagner
    AAML
ArXivPDFHTML

Papers citing "REAP: A Large-Scale Realistic Adversarial Patch Benchmark"

15 / 15 papers shown
Title
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image
  Inpainting Mechanism against Light Patch Attacks
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks
Hangcheng Cao
Longzhi Yuan
Guowen Xu
Ziyang He
Zhengru Fang
Yuguang Fang
AAML
28
2
0
06 Sep 2024
PADetBench: Towards Benchmarking Physical Attacks against Object
  Detection
PADetBench: Towards Benchmarking Physical Attacks against Object Detection
Jiawei Lian
Jianhong Pan
Lefan Wang
Yi Wang
Lap-Pui Chau
Shaohui Mei
AAML
31
0
0
17 Aug 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection
A Survey and Evaluation of Adversarial Attacks for Object Detection
Khoi Nguyen Tiet Nguyen
Wenyu Zhang
Kangkang Lu
Yuhuan Wu
Xingjian Zheng
Hui Li Tan
Liangli Zhen
AAML
27
0
0
04 Aug 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial
  Attacks
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
Meixi Zheng
Xuanchen Yan
Zihao Zhu
Hongrui Chen
Baoyuan Wu
ELM
MLAU
AAML
32
7
0
28 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language
  Pre-training Models via Self-Augmentation
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He
Xiaojun Jia
Siyuan Liang
Tianrui Lou
Yang Liu
Xiaochun Cao
AAML
VLM
19
23
0
08 Dec 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
14
11
0
21 Jun 2023
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min-Bin Lin
Weiwei Liu
Shuicheng Yan
DiffM
14
206
0
09 Feb 2023
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Hui Wei
Hao Tang
Xuemei Jia
Zhixiang Wang
Han-Bing Yu
Zhubo Li
Shiníchi Satoh
Luc Van Gool
Zheng Wang
AAML
21
43
0
30 Sep 2022
PatchGuard++: Efficient Provable Attack Detection against Adversarial
  Patches
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
Prateek Mittal
AAML
31
41
0
26 Apr 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
674
0
19 Oct 2020
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
129
160
0
10 Sep 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
286
0
02 Dec 2018
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
60
230
0
25 May 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
145
424
0
16 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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