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Black-box Targeted Adversarial Attack on Segment Anything (SAM)

Black-box Targeted Adversarial Attack on Segment Anything (SAM)

16 October 2023
Sheng Zheng
Chaoning Zhang
Xinhong Hao
    AAML
ArXivPDFHTML

Papers citing "Black-box Targeted Adversarial Attack on Segment Anything (SAM)"

6 / 6 papers shown
Title
Region-Guided Attack on the Segment Anything Model (SAM)
Region-Guided Attack on the Segment Anything Model (SAM)
Xiaoliang Liu
F. Shen
Jian Zhao
AAML
23
0
0
03 Jan 2025
Scalable Mask Annotation for Video Text Spotting
Scalable Mask Annotation for Video Text Spotting
Haibin He
Jing Zhang
Mengyang Xu
Juhua Liu
Bo Du
Dacheng Tao
90
13
0
02 May 2023
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects
  Cannot Be Easily Detected
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
Dongsheng Han
Chaoning Zhang
Yu Qiao
Maryam Qamar
Yuna Jung
Seungkyu Lee
Sung-Ho Bae
Choong Seon Hong
VLM
77
36
0
29 Apr 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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