50 citations · 80 across the 6 of their papers we have counts for
6 papers
TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks
Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo +6
The execution of deep neural network (DNN) algorithms suffers from significant bottlenecks due to the separation of the processing and memory units in traditional computer systems.…
Review of security techniques for memristor computing systems
Minhui Zou, Nan Du, Shahar Kvatinsky
Neural network (NN) algorithms have become the dominant tool in visual object recognition, natural language processing, and robotics. To enhance the computational efficiency of the…
Enhancing Security of Memristor Computing System Through Secure Weight Mapping
Minhui Zou, Junlong Zhou, Xiaotong Cui +2
Emerging memristor computing systems have demonstrated great promise in improving the energy efficiency of neural network (NN) algorithms. The NN weights stored in memristor crossb…
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices
Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8
The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…
Network Phenotyping for Network Traffic Classification and Anomaly Detection
Minhui Zou, Chengliang Wang, Fangyu Li +1
This paper proposes to develop a network phenotyping mechanism based on network resource usage analysis and identify abnormal network traffic. The network phenotyping may use diffe…
PoTrojan: powerful neural-level trojan designs in deep learning models
Minhui Zou, Yang Shi, Chengliang Wang +3
With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life. Neural network or artificial neural network (NN), the main tec…