Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?. (arXiv:2104.03813v2 [cs.CR] UPDATED)

Collaborative inference has recently emerged as an attractive framework for
applying deep learning to Internet of Things (IoT) applications by splitting a
DNN model into several subpart models among resource-constrained IoT devices
and the cloud. However, the reconstruction attack was proposed recently to
recover the original input image from intermediate outputs that can be
collected from local models in collaborative inference. For addressing such
privacy issues, a promising technique is to adopt differential privacy so that
the intermediate outputs are …

deep learning differential privacy internet internet of things privacy protect things