论文标题
使用加密特征图访问对象检测模型
Access Control of Object Detection Models Using Encrypted Feature Maps
论文作者
论文摘要
在本文中，我们为对象检测模型提出了一种访问控制方法。已证明使用加密图像或加密特征图可以有效地控制未经授权的访问模型。但是，该方法的有效性仅在图像分类模型和语义分割模型中得到了证实，但在对象检测模型中没有得到证实。在本文中，证明使用加密特征地图在首次访问对象检测模型方面有效。
In this paper, we propose an access control method for object detection models. The use of encrypted images or encrypted feature maps has been demonstrated to be effective in access control of models from unauthorized access. However, the effectiveness of the approach has been confirmed in only image classification models and semantic segmentation models, but not in object detection models. In this paper, the use of encrypted feature maps is shown to be effective in access control of object detection models for the first time.
