Black Box Modeling
Black Box Modeling is a functional modeling approach that characterizes a system solely by its inputs and outputs without explicit representation of its internal mechanisms or structural composition.
1.2K
Publications
87.5K
Citations
3.4K
Authors
1.2K
Institutions
Publications per year
2017–2026
550
Variants
Black-box Modeling
Parents
1.2K
Boosting Adversarial Attacks with Momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang et al. · 2018 · 2.9K citations
1–5 of 1.2K
3.4K
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1.2K

Centre National de la Recherche Scientifique
Paris, France
14 h-index
41 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
43 publications
4.9K citations
Stanford University
Stanford, United States
13 h-index
20 publications
4.8K citations
University of California, Berkeley
Berkeley, United States
12 h-index
33 publications
5.8K citations
Politecnico di Milano
Milan, Italy
11 h-index
35 publications
1.3K citations
University of Washington
Seattle, United States
11 h-index
22 publications
5K citations
KU Leuven
Leuven, Belgium
11 h-index
28 publications
925 citations
Tsinghua University
Beijing, China
10 h-index
24 publications
18.8K citations
1–8 of 1.2K
Repository · 82 publications · 5.6K citations
30
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14 publications · 497 citations
14
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11 publications · 992 citations
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Conference · 10 publications · 2.7K citations
10
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9 publications · 394 citations
9
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1–5