NPUFort: a secure architecture of DNN accelerator against model inversion attack

Proceedings of the 16th ACM International Conference on Computing Frontiers, pp. 190-196, 2019.

Cited by: 1|Views15


Deep neural network (DNN) models are widely used for inference in many application scenarios. DNN accelerators are not designed with security in mind, but for higher performance and lower energy consumption. Hence, they are suffering from the security risk of being attacked. The insecure design flaws of existing DNN accelerators can be ex...More



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