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公开(公告)号:US20230004754A1
公开(公告)日:2023-01-05
申请号:US17363043
申请日:2021-06-30
发明人: Quanfu Fan , Sijia Liu , GAOYUAN ZHANG , Kaidi Xu
摘要: Adversarial patches can be inserted into sample pictures by an adversarial image generator to realistically depict adversarial images. The adversarial image generator can be utilized to train an adversarial patch generator by inserting generated patches into sample pictures, and submitting the resulting adversarial images to object detection models. This way, the adversarial patch generator can be trained to generate patches capable of defeating object detection models.