Aditi Godbole
Data Privacy in LLMs: Challenges and Best Practices
#1about 2 minutes
Understanding the core capabilities of large language models
Large language models are AI systems trained on vast text data that can understand context, generate human-like text, and perform multiple tasks.
#2about 4 minutes
Applying core data privacy principles to AI models
Foundational data privacy principles like data minimization, purpose limitation, and consent are crucial for responsible AI development but challenging to apply to LLMs.
#3about 3 minutes
Identifying unique privacy risks inherent to LLMs
LLMs introduce specific privacy risks including memorization of sensitive data, re-identification of anonymized users, and unintended information disclosure.
#4about 3 minutes
Examining real-world incidents of LLM data exposure
Incidents involving GPT-2, GitHub Copilot, and ChatGPT highlight concrete examples of how LLMs can expose sensitive, copyrighted, or private user data.
#5about 4 minutes
Exploring solutions to mitigate data privacy risks
Technical approaches like differential privacy and federated learning, combined with regulatory compliance like GDPR, help address LLM privacy challenges.
#6about 3 minutes
Implementing best practices for trustworthy AI systems
Adopting best practices such as privacy by design, clear data governance, regular audits, and user consent builds more trustworthy and responsible AI systems.
#7about 3 minutes
Looking ahead at the future of AI privacy
The future of AI privacy involves advanced techniques like homomorphic encryption, new regulations like the EU AI Act, and a continued focus on responsible development.
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Matching moments
01:40 MIN
Addressing data privacy and security in AI systems
Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j
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05:16 MIN
Navigating data privacy and leakage risks with LLMs
Panel discussion: Developing in an AI world - are we all demoted to reviewers? WeAreDevelopers WebDev & AI Day March2025
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02:55 MIN
Addressing the key challenges of large language models
Large Language Models ❤️ Knowledge Graphs
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03:43 MIN
AI privacy concerns and prompt engineering
Coffee with Developers - Cassidy Williams -
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04:34 MIN
Analyzing the risks and architecture of current AI models
Opening Keynote by Sir Tim Berners-Lee
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05:18 MIN
Addressing the core challenges of large language models
Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps
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03:19 MIN
The overlooked security risks of AI and LLMs
WeAreDevelopers LIVE - Chrome for Sale? Comet - the upcoming perplexity browser Stealing and leaking
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03:59 MIN
Navigating legal compliance and data privacy
Three years of putting LLMs into Software - Lessons learned
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