Trusted Artificial Intelligence: Challenges and Promising Solutions

被引：0
|
作者：
D. Yu. Turdakov
A. I. Avetisyan
K. V. Arkhipenko
A. V. Antsiferova
D. S. Vatolin
S. S. Volkov
A. V. Gasnikov
D. A. Devyatkin
M. D. Drobyshevsky
A. P. Kovalenko
M. I. Krivonosov
N. V. Lukashevich
V. A. Malykh
S. I. Nikolenko
I. V. Oseledets
A. I. Perminov
I. V. Sochenkov
M. M. Tikhomirov
A. N. Fedotov
M. Yu. Khachay
机构：
[1] Ivannikov Institute for System Programming,
[2] Russian Academy of Sciences,undefined
[3] Skolkovo Institute of Science and Technology,undefined
[4] Artificial Intelligence Research Institute,undefined
[5] Lomonosov Moscow State University,undefined
[6] Moscow Institute of Physics and Technology (National Research University),undefined
[7] National Research University Higher School of Economics,undefined
[8] Institute for Systems Analysis,undefined
[9] Federal Research Center “Computer Science and Control,undefined
[10] ” Russian Academy of Sciences,undefined
[11] Krasovskii Institute of Mathematics and Mechanics,undefined
[12] Ural Branch,undefined
[13] Russian Academy of Sciences,undefined
来源：
Doklady Mathematics | 2022年 / 106卷
关键词：
trusted artificial intelligence; attacks on machine learning; explainable artificial intelligence; trusted intelligent systems;
D O I：
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中图分类号：
学科分类号：
摘要：
引用
收藏
页码：S9 / S13
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