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Contributed Talk: zPROBE: Zero Peek Robustness Checks for Federated Learning
Zahra Ghodsi · Mojan Javaheripi · Nojan Sheybani · Xinqiao Zhang · Ke Huang · Farinaz Koushanfar

Fri Dec 09 03:00 PM -- 03:15 PM (PST) @
in Trustworthy and Socially Responsible Machine Learning »

Author Information

Zahra Ghodsi (University of California, San Diego)
Mojan Javaheripi (University of California San Diego)

I am a PhD student at UC San Diego working under supervision of Prof. Farinaz Koushanfar. My research lies at the intersection of machine learning algorithm and systems. I tackle challenges to enable hardware-aware and secure Deep Learning (DL). I have worked in the areas of efficient DL training and execution on constrained devices as well as adversarially robust DL models. I am the recipient of the 2019 Qualcomm Innovation Fellowship award. Prior to my PhD, I obtained my Bachelor's in Electrical Engineering majoring in digital system design. Skills: Deep Learning, AutoML, Computer Vision, Discrete and Continuous Optimization, Computer Architecture

Nojan Sheybani (University of California San Diego)
Xinqiao Zhang (University of California, San Diego, University of California, San Diego)
Ke Huang (San Diego State University)
Farinaz Koushanfar (William Marsh Rice University)

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