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04/29/2022
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting
This work proposes a rapid global solver for nonconvex low-rank matrix f...
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04/12/2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
As spiking neural networks (SNNs) are deployed increasingly in real-worl...
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10/27/2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Adversarial patch attacks that craft the pixels in a confined region of ...
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07/25/2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks
Although spiking neural networks (SNNs) take benefits from the bio-plaus...
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05/28/2021
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations
We consider solving high-order semidefinite programming (SDP) relaxation...
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09/26/2020
Rubik: A Hierarchical Architecture for Efficient Graph Learning
Graph convolutional network (GCN) emerges as a promising direction to le...
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08/09/2020
SEALing Neural Network Models in Secure Deep Learning Accelerators
Deep learning (DL) accelerators are increasingly deployed on edge device...
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01/07/2020
HyGCN: A GCN Accelerator with Hybrid Architecture
In this work, we first characterize the hybrid execution patterns of GCN...
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01/01/2020
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Recently, backpropagation through time inspired learning algorithms are ...
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11/03/2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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08/12/2019
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition
As the multi-view data grows in the real world, multi-view clus-tering h...
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03/10/2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
As neural networks continue their reach into nearly every aspect of soft...
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07/25/2018
