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08/24/2023
Data-Side Efficiencies for Lightweight Convolutional Neural Networks
We examine how the choice of data-side attributes for two important visu...
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06/20/2023
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition
End-to-end encryption (E2EE) provides strong technical protections to in...
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10/20/2022
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic
Recent statistics reveal an alarming increase in accidents involving ped...
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10/11/2022
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning
We introduce ViFiCon, a self-supervised contrastive learning scheme whic...
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10/12/2021
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation
With the periodic rise and fall of COVID-19 and countries being inflicte...
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06/17/2021
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning
End-to-end encryption (E2EE) by messaging platforms enable people to sec...
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11/25/2020
Ax-BxP: Approximate Blocked Computation for Precision-Reconfigurable Deep Neural Network Acceleration
Precision scaling has emerged as a popular technique to optimize the com...
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05/18/2020
Designing Just-in-Time Detection for Gamified Fitness Frameworks
This paper presents our findings from a multi-year effort to detect moti...
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02/25/2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems
Resistive crossbars have attracted significant interest in the design of...
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09/15/2019
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks
The use of lower precision has emerged as a popular technique to optimiz...
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08/31/2018
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars
Deep Neural Networks (DNNs) are widely used to perform machine learning ...
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11/07/2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Deep Neural Networks (DNNs) have emerged as the method of choice for sol...
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11/01/2017
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications
As smartphone rooted distractions become commonplace, the lack of compel...
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07/31/2017
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
In this paper, we develop a 2D and 3D segmentation pipelines for fully a...
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12/22/2016