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09/19/2023
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks
While Federated learning (FL) is attractive for pulling privacy-preservi...
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08/22/2023
DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs
Mixed-precision neural networks (MPNNs) that enable the use of just enou...
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06/20/2023
MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing
To ensure resilient neural network processing on even unreliable hardwar...
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05/23/2023
ChipGPT: How far are we from natural language hardware design
As large language models (LLMs) like ChatGPT exhibited unprecedented mac...
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11/09/2022
Nonlinear Set Membership Filter with State Estimation Constraints via Consensus-ADMM
This paper considers the state estimation problem for nonlinear dynamic ...
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10/12/2022
Statistical Modeling of Soft Error Influence on Neural Networks
Soft errors in large VLSI circuits pose dramatic influence on computing-...
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09/13/2022
Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition
Cross-dataset emotion recognition as an extremely challenging task in th...
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08/15/2022
DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning
Secure aggregation is widely used in horizontal Federated Learning (FL),...
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04/05/2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective
With the rapid advancements of deep learning in the past decade, it can ...
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11/24/2021
Efficient Secure Aggregation Based on SHPRG For Federated Learning
We propose a novel secure aggregation scheme based on seed-homomorphic p...
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08/11/2021
Taming Process Variations in CNFET for Efficient Last Level Cache Design
Carbon nanotube field-effect transistors (CNFET) emerge as a promising a...
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07/07/2021
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
AIoT processors fabricated with newer technology nodes suffer rising sof...
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07/06/2021
Energy-Efficient Accelerator Design for Deformable Convolution Networks
Deformable convolution networks (DCNs) proposed to address the image rec...
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06/09/2021
HyCA: A Hybrid Computing Architecture for Fault Tolerant Deep Learning
Hardware faults on the regular 2-D computing array of a typical deep lea...
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02/23/2020
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
Video prediction is a pixel-wise dense prediction task to infer future f...
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02/23/2020
A study of resting-state EEG biomarkers for depression recognition
Background: Depression has become a major health burden worldwide, and e...
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02/20/2020
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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02/20/2020
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis
According to the World Health Organization, the number of mental disorde...
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01/28/2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Random linear mappings are widely used in modern signal processing, comp...
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06/10/2019
HTDet: A Clustering Method using Information Entropy for Hardware Trojan Detection
Hardware Trojans (HTs) have drawn more and more attention in both academ...
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09/11/2018