Zhezhi He | DeepAI

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Featured Co-authors

Yanzhi Wang
123 publications
Tao Yang
80 publications
Boqing Gong
59 publications
Xue Lin
57 publications
Li Jiang
48 publications
Xiaolong Ma
38 publications
Kaisheng Ma
32 publications
Liqiang Wang
30 publications
Xuehai Qian
29 publications
Linfeng Zhang
28 publications
Yu Gong
26 publications

∙ 05/09/2022

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

This work aims to tackle Model Inversion (MI) attack on Split Federated ...

0 Jingtao Li, et al. ∙

∙ 03/09/2022

CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

Vision transformer (ViT) has achieved competitive accuracy on a variety ...

0 Zhuoran Song, et al. ∙

∙ 12/15/2021

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores

Accelerating the neural network inference by FPGA has emerged as a popul...

0 Yu Gong, et al. ∙

∙ 07/20/2021

NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Neural network stealing attacks have posed grave threats to neural netwo...

0 Jingtao Li, et al. ∙

∙ 03/02/2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network

Resistive Random-Access-Memory (ReRAM) crossbar is a promising technique...

1 Fangxin Liu, et al. ∙

∙ 01/20/2021

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery

Adversarial attacks on Neural Network weights, such as the progressive b...

0 Jingtao Li, et al. ∙

∙ 07/24/2020

T-BFA: Targeted Bit-Flip Adversarial Weight Attack

Deep Neural Network (DNN) attacks have mostly been conducted through adv...

0 Adnan Siraj Rakin, et al. ∙

∙ 09/10/2019

TBT: Targeted Neural Network Attack with Bit Trojan

Security of modern Deep Neural Networks (DNNs) is under severe scrutiny ...

0 Adnan Siraj Rakin, et al. ∙

∙ 07/03/2019

Non-structured DNN Weight Pruning Considered Harmful

Large deep neural network (DNN) models pose the key challenge to energy ...

3 Yanzhi Wang, et al. ∙

∙ 05/30/2019

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness

Deep Neural Network (DNN) trained by the gradient descent method is know...

0 Adnan Siraj Rakin, et al. ∙

∙ 03/28/2019

Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search

Several important security issues of Deep Neural Network (DNN) have been...

0 Adnan Siraj Rakin, et al. ∙

∙ 03/28/2019

Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search

Several important security issues of Deep Neural Network (DNN) have been...

0 Adnan Siraj Rakin, et al. ∙

∙ 11/22/2018

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

Recent development in the field of Deep Learning have exposed the underl...

0 Adnan Siraj Rakin, et al. ∙

∙ 10/02/2018

Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation

In the past years, Deep convolution neural network has achieved great su...

0 Zhezhi He, et al. ∙

∙ 07/20/2018

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

Deep convolution neural network has achieved great success in many artif...

2 Zhezhi He, et al. ∙

∙ 02/05/2018

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples

Deep learning algorithms and networks are vulnerable to perturbed inputs...

0 Adnan Siraj Rakin, et al. ∙

∙ 02/05/2018

Robust Pre-Processing: A Robust Defense Method Against Adversary Attack

Deep learning algorithms and networks are vulnerable to perturbed inputs...

0 Adnan Siraj Rakin, et al. ∙

∙ 05/08/2017

Developing All-Skyrmion Spiking Neural Network

In this work, we have proposed a revolutionary neuromorphic computing me...

0 Zhezhi He, et al. ∙

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