IEEE Tech Talk: Data classification, security paradigm, and security for LLM applications

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Data is the foundation of any software application. These applications accept, process, and output the response based on the data type. It is of high importance to ensure the safety of these data. The protection is ensured by architecting the application securely. With the rise of foundational models the influence of ML applications is growing and the paradigm of security changes rapidly. There are various ways to interact with these foundational models and this is the application developers responsibility to secure the data accepted and ended by these applications.
In this talk, I will discuss the data classification, security paradigm, and security for LLM applications.

  Date and Time

  Location

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  Registration


  • Date: 11 Jun 2024
  • Time: 06:00 PM to 06:50 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
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  • Contact Event Hosts
  • Co-sponsored by Seattle University Student Chapter
  • Starts 09 June 2024 12:00 AM
  • Ends 11 June 2024 07:00 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
  • No Admission Charge

  Speakers

Pranav Chaudhary

Topic:

Getting Started with Systems Engineering and Requirements Management

Biography:

 

Speaker: Pranav Chaudhary

I have been a full-stack developer in B2B and B2C domains for the past 12 years. My expertise includes distributed computing, cyber security, and Artificial Intelligence. Throughout my career, I have worked with various organizations to create impactful products for customers across the globe. For the past 7 years, I have been working with Amazon. As a senior engineer, I have expertise in creating highly secure applications and protecting customer critical information at scale. My work on LLM ensures quality data is used in pre-training cost-effectively, MLOps to ensure faster experimentation with models, and leveraging Foundational Models to create content generation securely.  




Agenda

6.00 PM to 6.50 PM Techtalk