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Towards Generalized and Distributed Privacy-Preserving Representation Learning

Oct 05, 2020
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher Brinton, Carlee Joe-Wong, Saurabh Bagchi

* 19 pages, 22 figures 

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Event-Triggered Distributed Inference

Apr 02, 2020
Aritra Mitra, Saurabh Bagchi, Shreyas Sundaram


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AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming

Dec 16, 2019
Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Panta, Kaustubh Joshi, Mostafa Ammar, Mung Chiang, Saurabh Bagchi

* 12 pages; EWSN 2020 

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HAWKEYE: Adversarial Example Detector for Deep Neural Networks

Sep 22, 2019
Jinkyu Koo, Michael Roth, Saurabh Bagchi


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ApproxNet: Content and Contention Aware Video Analytics System for the Edge

Aug 28, 2019
Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Ganga Maghanath, Saurabh Bagchi


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Misleading Metadata Detection on YouTube

Jan 25, 2019
Priyank Palod, Ayush Patwari, Sudhanshu Bahety, Saurabh Bagchi, Pawan Goyal

* Accepted at European Conference on Information Retrieval(ECIR) 2019. 7 Pages 

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ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models

Dec 30, 2018
Mustafa Abdallah, Ashraf Mahgoub, Saurabh Bagchi, Somali Chaterji

* 10 main pages, 7 references and appendices 

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