Work

Hue and Saturation oriented Imperceptible Adversarial Examples and their Evaluation

Year: 2024

Type: conference-paper

Source: International Conference on Information Technology and Computer Communications (ITCC)

DOI: 10.1145/3704391.3704406

Authors: Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa

Institution: Meijo University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: 敵対的摂動と生成AIを用いた責任あるAIのためのデータセット健全化システムの開発

OpenAlex ID: W4406549859

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Cites: 9

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