Generating Adversarial Examples by Distributed Upsampling

Shunkai Zhou; Yueling Zhang; Guitao Cao; Jiangtao Wang

doi:10.1007/978-3-030-92185-9_15

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Generating Adversarial Examples by Distributed Upsampling

Shunkai Zhou Yueling Zhang Guitao Cao Jiangtao Wang

Year: 2021 Lecture notes in computer science Pages: 177-189 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-92185-9_15

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Keywords:

Computer science Upsampling Adversarial system MNIST database Artificial intelligence Exploit Image (mathematics) Artificial neural network Deep neural networks Process (computing) Deep learning Machine learning Task (project management) Generative grammar Benchmark (surveying) Pattern recognition (psychology) Theoretical computer science Computer security

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Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Generating Adversarial Examples by Distributed Upsampling

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