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yashmaurya01/README.md

Hello there!

I'm Yash Maurya, a Privacy Engineering Graduate student at Carnegie Mellon University.

I'm dedicated to creating privacy-conscious AI solutions and ensuring the ethical use of data. My mission is to design robust privacy systems for the greater good of society.

My key interests are in Federated Learning, Differential Privacy, Explainable and Responsible AI.


Please feel free to connect with me if you're interested in discussing privacy in the digital realm or exploring the ethical applications of AI. Let's work together to make the world a safer, smarter, and more responsible place!

Contact Information

Website: yashmaurya.com
LinkedIn: yashmaurya
Twitter: @yash_maurya01

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  1. subygan/space-JEDI subygan/space-JEDI Public

    Python 1

  2. BiasBusterDPGen BiasBusterDPGen Public

    Python 1

  3. Privacy-Engineering-CMU/location-dp-framework Privacy-Engineering-CMU/location-dp-framework Public

    Unified locational DP framework for private data aggregation

    Python 1 2

  4. AmanPriyanshu/AdVerse AmanPriyanshu/AdVerse Public

    HackCMU'24

    JavaScript

  5. Is-it-worth-storing-gradients Is-it-worth-storing-gradients Public

    Forked from JC-78/federatedLearning

    Codebase for the paper "Is it worth storing gradients?"

    Jupyter Notebook

  6. linkedin-personalizedmsg linkedin-personalizedmsg Public

    JavaScript