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Privacy Preserving Single Post Analytics

LinkedIn Engineering

This then posed a challenging question: how to protect the privacy of the viewers of posts while still providing useful post analytics to the post author in real-time? We will detail our approach to add even more safeguards to viewer privacy on post analytics, which is the result of a joint venture across multiple teams at LinkedIn.

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Privacy Engineering at DoorDash Drive

DoorDash Engineering

DoorDash proactively embeds privacy into our products. As an example of how we do so, we delve here into an engineering effort to maintain user privacy. We will show how geomasking address data allows DoorDash to protect user privacy while maintaining local analytic capabilities. 6826 * β * A1) + (.2718 2718 * β * A2) + (.0428

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Common Misconceptions About Differential Privacy

KDnuggets

This article will clarify some common misconceptions about differential privacy and what it guarantees.

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With Data Privacy learn to implement technical privacy solutions and tools at scale

KDnuggets

Data Privacy: A runbook for engineers, teaches you to implement technical privacy solutions and tools at scale. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy saving time and resource costs!

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.

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How Meta is improving password security and preserving privacy

Engineering at Meta

Meta is developing new privacy-enhancing technologies (PETs) to innovate and solve problems with less data. These technologies enable teams to build and launch privacy-enhanced products in a way that’s verifiable and safeguards user data. With PDL, we further ensure that only one party (i.e.,

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Complying with Quebec’s Data Privacy Laws Is Easier with the Data Cloud

Snowflake

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. The European Union’s General Data Protection Regulation (GDPR) , one of the more well-known and far-reaching of these privacy regulations, went into effect on May 25, 2018. 1, Section 3.2,

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