Search Results for author: Poonam Yadav

Found 6 papers, 3 papers with code

Revisiting IoT Device Identification

1 code implementation16 Jul 2021 Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi

Internet-of-Things (IoT) devices are known to be the source of many security problems, and as such, they would greatly benefit from automated management.

The Case for Retraining of ML Models for IoT Device Identification at the Edge

no code implementations17 Nov 2020 Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Yiming Xie, Richard Mortier, Hamed Haddadi

We therefore evaluate our approach using hardware resources and data sources representative of those that would be available at the edge of the network, such as in an IoT deployment.

Benchmarking TinyML Systems: Challenges and Direction

1 code implementation10 Mar 2020 Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav

In this position paper, we present the current landscape of TinyML and discuss the challenges and direction towards developing a fair and useful hardware benchmark for TinyML workloads.

Network Service Dependencies in Commodity Internet-of-Things Devices

no code implementations25 Feb 2019 Poonam Yadav, Qi Li, Anthony Brown, Richard Mortier

We continue to see increasingly widespread deployment of IoT devices, with apparent intent to embed them in our built environment likely to accelerate if smart city and related programmes succeed.

Networking and Internet Architecture

Face Prediction Model for an Automatic Age-invariant Face Recognition System

no code implementations16 Apr 2015 Poonam Yadav

Automated face recognition and identification softwares are becoming part of our daily life; it finds its abode not only with Facebook's auto photo tagging, Apple's iPhoto, Google's Picasa, Microsoft's Kinect, but also in Homeland Security Department's dedicated biometric face detection systems.

Age-Invariant Face Recognition Face Detection +1

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