- 专利标题: ADVERSARIAL IMAGE GENERATOR
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申请号: US17363043申请日: 2021-06-30
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公开(公告)号: US20230004754A1公开(公告)日: 2023-01-05
- 发明人: Quanfu Fan , Sijia Liu , GAOYUAN ZHANG , Kaidi Xu
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06N20/00 ; G06F3/12
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.
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