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08/31/2023
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder
Using a vision-inspired keyword spotting framework, we propose an archit...
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10/24/2022
I see what you hear: a vision-inspired method to localize words
This paper explores the possibility of using visual object detection tec...
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09/07/2021
Trojan Signatures in DNN Weights
Deep neural networks have been shown to be vulnerable to backdoor, or tr...
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04/23/2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks
Splitting network computations between the edge device and a server enab...
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09/04/2020
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks
We propose CLEANN, the first end-to-end framework that enables online mi...
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04/08/2020
GeneCAI: Genetic Evolution for Acquiring Compact AI
In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...
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11/15/2019
ASCAI: Adaptive Sampling for acquiring Compact AI
This paper introduces ASCAI, a novel adaptive sampling methodology that ...
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02/19/2019
XONN: XNOR-based Oblivious Deep Neural Network Inference
Advancements in deep learning enable cloud servers to provide inference-...
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01/17/2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
This paper proposes CodeX, an end-to-end framework that facilitates enco...
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06/15/2018
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework
Deep neural networks (DNN) have demonstrated effectiveness for various a...
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11/03/2017
ResBinNet: Residual Binary Neural Network
Recent efforts on training light-weight binary neural networks offer pro...
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09/08/2017