Mohammad Samragh | DeepAI

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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...

0 Alexandre Bittar, et al. ∙

∙ 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...

0 Mohammad Samragh, et al. ∙

∙ 09/07/2021

Trojan Signatures in DNN Weights

Deep neural networks have been shown to be vulnerable to backdoor, or tr...

0 Greg Fields, et al. ∙

∙ 04/23/2021

Unsupervised Information Obfuscation for Split Inference of Neural Networks

Splitting network computations between the edge device and a server enab...

0 Mohammad Samragh, et al. ∙

∙ 09/04/2020

CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

We propose CLEANN, the first end-to-end framework that enables online mi...

20 Mojan Javaheripi, et al. ∙

∙ 04/08/2020

GeneCAI: Genetic Evolution for Acquiring Compact AI

In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...

0 Mojan Javaheripi, et al. ∙

∙ 11/15/2019

ASCAI: Adaptive Sampling for acquiring Compact AI

This paper introduces ASCAI, a novel adaptive sampling methodology that ...

0 Mojan Javaheripi, et al. ∙

∙ 02/19/2019

XONN: XNOR-based Oblivious Deep Neural Network Inference

Advancements in deep learning enable cloud servers to provide inference-...

0 M. Sadegh Riazi, et al. ∙

∙ 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...

12 Mohammad Samragh, et al. ∙

∙ 06/15/2018

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

Deep neural networks (DNN) have demonstrated effectiveness for various a...

0 Mohsen Imani, et al. ∙

∙ 11/03/2017

ResBinNet: Residual Binary Neural Network

Recent efforts on training light-weight binary neural networks offer pro...

0 Mohammad Ghasemzadeh, et al. ∙

∙ 09/08/2017

CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning

This paper proposes CuRTAIL, an end-to-end computing framework for chara...

0 Bita Darvish Rouhani, et al. ∙

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