An Approximate Memory Based Defense Against Model Inversion Attacks to Neural Networks
Author:
Affiliation:
1. Electrical and Computer Engineering Department, University of Maryland, College Park, MD, USA
2. ECE Department, Morgan State University, Baltimore, MD, USA
3. ECE and ISR, University of Maryland, College Park, MD, USA
Funder
Defense Advanced Research Projects Agency
Automatic Implementation of Secure Silicon Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)
Link
http://xplorestaging.ieee.org/ielx7/6245516/9970409/09792582.pdf?arnumber=9792582
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1. Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator
2. Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
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4. An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS
5. Reducing memory access latency with asymmetric DRAM bank organizations
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