Work

Luminance Correction based Countermeasure against Adversarial Examples

Year: 2024

Type: conference-paper

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

DOI: 10.1145/3704391.3704408

Authors: Takumi Tojo, 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: AI知財保護・汚染モデル除去を指向した連合学習の実行プラットフォーム

OpenAlex ID: W4406549853

FWCI:

Cites: 9

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Related to: 10