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Hidden Backdoor Attack against Semantic Segmentation Models

Hidden Backdoor Attack against Semantic Segmentation Models

6 March 2021
Yiming Li
Yanjie Li
Yalei Lv
Yong Jiang
Shutao Xia
    AAML
ArXivPDFHTML

Papers citing "Hidden Backdoor Attack against Semantic Segmentation Models"

21 / 21 papers shown
Title
Robust and Transferable Backdoor Attacks Against Deep Image Compression
  With Selective Frequency Prior
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
Yi Yu
Yufei Wang
Wenhan Yang
Lanqing Guo
Shijian Lu
Ling-yu Duan
Yap-Peng Tan
Alex C. Kot
AAML
88
5
0
02 Dec 2024
Towards Physical World Backdoor Attacks against Skeleton Action
  Recognition
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Qichen Zheng
Yi Yu
Siyuan Yang
Jun Liu
Kwok-Yan Lam
Alex C. Kot
AAML
43
3
0
16 Aug 2024
Object-oriented backdoor attack against image captioning
Object-oriented backdoor attack against image captioning
Meiling Li
Nan Zhong
Xinpeng Zhang
Zhenxing Qian
Sheng Li
21
8
0
05 Jan 2024
Manipulating Trajectory Prediction with Backdoors
Manipulating Trajectory Prediction with Backdoors
Kaouther Messaoud
Kathrin Grosse
Mickaël Chen
Matthieu Cord
Patrick Pérez
Alexandre Alahi
AAML
LLMSV
29
0
0
21 Dec 2023
Robust Backdoor Attacks on Object Detection in Real World
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian
Boyuan Ji
Shuke He
Shenhui Huang
Xiang Ling
Bin Wang
Wen Wang
52
3
0
16 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation
  Methods through Trend-based Testing
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
Jinwen He
Kai Chen
Guozhu Meng
Jiangshan Zhang
Congyi Li
FAtt
AAML
46
2
0
09 Sep 2023
Transferable Attack for Semantic Segmentation
Transferable Attack for Semantic Segmentation
Mengqi He
Jing Zhang
Zhaoyuan Yang
Mingyi He
Nick Barnes
Yuchao Dai
38
2
0
31 Jul 2023
Quantifying the robustness of deep multispectral segmentation models
  against natural perturbations and data poisoning
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning
Elise Bishoff
Charles Godfrey
Myles Mckay
E. Byler
AAML
16
1
0
18 May 2023
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks
Zihan Guan
Mengxuan Hu
Zhongliang Zhou
Jielu Zhang
Sheng Li
Ninghao Liu
34
9
0
05 May 2023
Influencer Backdoor Attack on Semantic Segmentation
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan
Jindong Gu
Philip Torr
Hengshuang Zhao
AAML
26
6
0
21 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency
  Trigger
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
Yi Yu
Yufei Wang
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
69
41
0
28 Feb 2023
Membership Inference Attacks Against Semantic Segmentation Models
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
32
6
0
02 Dec 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Nikolaus Drager
Yonghao Xu
Pedram Ghamisi
AAML
23
13
0
15 Nov 2022
Untargeted Backdoor Attack against Object Detection
Untargeted Backdoor Attack against Object Detection
C. Luo
Yiming Li
Yong Jiang
Shutao Xia
AAML
31
31
0
02 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and
  Boosting Segmentation Robustness
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
21
74
0
25 Jul 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors
  During Training
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
Zhenting Wang
Hailun Ding
Juan Zhai
Shiqing Ma
AAML
23
45
0
13 Feb 2022
An Overview of Backdoor Attacks Against Deep Neural Networks and
  Possible Defences
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences
Wei Guo
B. Tondi
Mauro Barni
AAML
32
65
0
16 Nov 2021
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
Yangyi Chen
Fanchao Qi
Hongcheng Gao
Zhiyuan Liu
Maosong Sun
SILM
18
22
0
15 Oct 2021
Invisible Backdoor Attack with Sample-Specific Triggers
Invisible Backdoor Attack with Sample-Specific Triggers
Yuezun Li
Yiming Li
Baoyuan Wu
Longkang Li
Ran He
Siwei Lyu
AAML
DiffM
30
467
0
07 Dec 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
589
0
17 Jul 2020
1