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Title: GitHub - ffhibnese/Model-Inversion-Attack-ToolBox: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started. · GitHub

Open Graph Title: GitHub - ffhibnese/Model-Inversion-Attack-ToolBox: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

X Title: GitHub - ffhibnese/Model-Inversion-Attack-ToolBox: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

Description: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started. - ffhibnese/Model-Inversion-Attack-ToolBox

Open Graph Description: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started. - ffhibnese/Model-Inversion-Attack-ToolBox

X Description: A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started. - ffhibnese/Model-Inversion-Attack-ToolBox

Mail addresses
qiuyixiang@stu.hit.edu.cn
yuhongyao@stu.hit.edu.cn
fang-h23@mails.tsinghua.edu.cn

Opengraph URL: https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox

X: @github

direct link

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https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#model-inversion-attack-toolbox-v20
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Yixiang Qiu*https://github.com/final-solution
Hongyao Yu*https://github.com/Chrisqcwx
Hao Fang*https://github.com/ffhibnese
Wenbo Yuhttps://github.com/cswbyu
Bin Chen#https://github.com/BinChen2021
Xuan Wanghttps://faculty.hitsz.edu.cn/wangxuan
Shu-Tao Xiahttps://www.sigs.tsinghua.edu.cn/xst/main.htm
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBoxhttps://github.com/ffhibnese/Model-Inversion-Attack-ToolBox
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#rocket-introduction
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#bulb-features
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#memo-model-inversion-attacks
CVPR'2020https://openaccess.thecvf.com/content_CVPR_2020/html/Yin_Dreaming_to_Distill_Data-Free_Knowledge_Transfer_via_DeepInversion_CVPR_2020_paper.html
CVPR'2020https://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_The_Secret_Revealer_Generative_Model-Inversion_Attacks_Against_Deep_Neural_Networks_CVPR_2020_paper.html
ICCV'2021https://openaccess.thecvf.com/content/ICCV2021/html/Chen_Knowledge-Enriched_Distributional_Model_Inversion_Attacks_ICCV_2021_paper.html
NeurIPS'2021https://proceedings.neurips.cc/paper/2021/hash/50a074e6a8da4662ae0a29edde722179-Abstract.html
ECCV'2022https://link.springer.com/chapter/10.1007/978-3-031-20065-6_9#Abs1
CVPR'2022https://openaccess.thecvf.com/content/CVPR2022/html/Kahla_Label-Only_Model_Inversion_Attacks_via_Boundary_Repulsion_CVPR_2022_paper.html
NDSS'2022https://www.ndss-symposium.org/ndss-paper/auto-draft-203/
ICML'2022https://arxiv.org/pdf/2201.12179.pdf
AAAI'2023https://ojs.aaai.org/index.php/AAAI/article/view/25442
TDSC'2023https://ieeexplore.ieee.org/abstract/document/10148574
CVPR'2023https://openaccess.thecvf.com/content/CVPR2023/html/Nguyen_Re-Thinking_Model_Inversion_Attacks_Against_Deep_Neural_Networks_CVPR_2023_paper.html
CVPR'2023https://openaccess.thecvf.com/content/CVPR2023/html/Han_Reinforcement_Learning-Based_Black-Box_Model_Inversion_Attacks_CVPR_2023_paper.html
NeurIPS'2023https://openreview.net/forum?id=NuoIThPPag
ECCV'2024https://arxiv.org/abs/2407.13863
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#memo-model-inversion-defenses
AAAI'2021https://ojs.aaai.org/index.php/AAAI/article/view/17387
KDD'2022https://dl.acm.org/doi/abs/10.1145/3534678.3539376
CVPR'2024https://openreview.net/forum?id=nW0sCc3LLN&nesting=2&sort=date-desc
ICLR'2024https://openreview.net/forum?id=1SbkubNdbW
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#wrench-environments
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herehttps://github.com/ffhibnese/Model-Inversion-Attack-ToolBox/blob/main/docs/datasets.md
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https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#-citation
https://github.com/ffhibnese/Model-Inversion-Attack-ToolBox#sparkles-acknowledgement
PLGMIhttps://github.com/LetheSec/PLG-MI-Attack
machine-learning https://github.com/topics/machine-learning
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