Moderator: Vasudha Hegde, DoorDash
Panelists: Nitin Agrawal, Snap Inc.; Smita Rajmohan, Google; Sri Pravallika, Autodesk
As industries increasingly embrace AI technologies, the risk of privacy breaches and unlawful data processing escalates. This panel proposes a comprehensive discussion on identifying essential privacy patterns for AI systems and advocating for privacy by design principles within ML pipelines. We will explore legal obligations surrounding the implementation of robust security measures, delve into technical risks associated with ML algorithms, and examine prevailing privacy-preserving machine learning technologies. Additionally, we will analyze the specific challenges posed by large language models (LLMs) and generative AI, including their susceptibility to privacy and ethical risks. By sharing insights and strategies, this session aims to equip participants with actionable knowledge to enhance privacy in AI/ML practices.
Nitin Agrawal, Snap Inc.
Nitin Agrawal is currently a Privacy Engineer at Snap Inc., specializing in AI privacy and data classification. Previously, he worked as an Applied Scientist for Alexa Privacy at Amazon. He holds a Ph.D. in Computer Science from the University of Oxford, where his research focused on advancing techniques for effective and equitable privacy-preserving machine learning.
Smita Rajmohan, Google
Smita Rajmohan is a Senior Product Counsel at Autodesk, where she is the head of the AI/ML Legal Practice Group. Smita serves on the IAPP Education Advisory Board and is an exam writer for the AI Governance certification. She is also part of IEEE's AI Policy Committee and serves on the Standards Committee for Institute of Operational Privacy Design.
Sri Pravallika, Autodesk
Sri Pravallika is a Privacy Tech Lead at Google's Privacy Trust Response team. Besides managing the response to complex Privacy incidents, she also leads incident prevention and remediation programs. She built her career in Security with a Masters in Cybersecurity from Northeastern University and eventually pivoted to Privacy.
author = {Vasudha Hegde and Nitin Agrawal and Smita Rajmohan and Sri Pravallika},
title = {Panel: Privacy Design Patterns for {AI} Systems: Threats and Protections},
year = {2024},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jun
}