Oblivious

🗳️ Privacy in Polling? In light of the recent election, this Guardian article highlights randomised response—a technique that uses randomness to help pollsters gather honest answers on sensitive topics while protecting privacy. This concept is at the heart of differential privacy: both methods add controlled randomness to protect individual answers, ensuring that personal data remains private while still enabling meaningful insights. Techniques like these are vital for preserving privacy in data-driven fields like finance, healthcare, and even election polling. https://lnkd.in/dWQuhjXh #DifferentialPrivacy #DataPrivacy #TechNews #PrivacyTech

Interested in differential privacy and how it’s transforming data science? Check out the new HackerNoon article by Bex, which breaks down how differential privacy works and how it helps prevent sensitive information from being exposed in datasets. It covers critical concepts like epsilon and privacy budgets and provides practical examples showing how DP can prevent linkage attacks across industries, from healthcare to finance. Read it here: https://lnkd.in/dyPgFiS6 To make these concepts more tangible, the article introduces the interactive privacy games, hosted on our website. These games are designed to help you understand the privacy-accuracy tradeoff and experiment with epsilon settings in a hands-on way. Give these games a try and see how privacy settings affect data utility: https://lnkd.in/db3ekFcr #DifferentialPrivacy #DataPrivacy #PrivacyGames #MachineLearning #DataProtection

🗺️ 𝐆𝐞𝐚𝐫 𝐮𝐩 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐆𝐥𝐨𝐛𝐚𝐥 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧 𝐤𝐢𝐜𝐤𝐢𝐧𝐠 𝐨𝐟𝐟 𝐭𝐡𝐢𝐬 𝐅𝐫𝐢𝐝𝐚𝐲! 🚀 We're partnering with Texas A&M’s Aggie Data Science to bring you a hackathon that dives into the complexities of global economics. Your mission? Use statistical performance indexes from various countries to predict economic impact vectors, all while keeping citizen data private with our differential privacy tools. 💡 𝐖𝐡𝐚𝐭’𝐬 𝐭𝐡𝐞 𝐠𝐨𝐚𝐥? — Analyse intricate economic data. — Predict impacts using machine learning models. — Apply privacy-preserving techniques to protect data integrity. €𝟒,𝟓𝟎𝟎 𝐏𝐫𝐢𝐳𝐞 𝐏𝐨𝐨𝐥 𝐭𝐨 𝐌𝐚𝐤𝐞 𝐈𝐭 𝐖𝐨𝐫𝐭𝐡 𝐘𝐨𝐮𝐫 𝐖𝐡𝐢𝐥𝐞: 🥇 €2,000 for the top spot 🥈 €1,000 for second place 🥉 €500 for third place 💸 Additional cash prizes for 4th through 10th places! 🔗 Join a community passionate about pushing the boundaries of privacy and data science and try one of the practice datasets on our platform before the hackathon starts on Friday: https://lnkd.in/dqp4jrWN #DataScience #Hackathon #PrivacyTech #DifferentialPrivacy #MachineLearning

How can technology companies and regulators collaborate to ensure privacy-enhancing technologies (PETs) work in the real world? At the Eyes-Off Data Summit 2024, David Lehr of Meta dives into the Open Loop initiative, an experimental governance program that helps test and prototype data privacy policies before they’re implemented. Lehr’s talk explores the PETs Playbook and offers key insights into how organisations can tackle the technical and regulatory challenges of adopting privacy technologies. Missed it at the Eyes-Off Data Summit 2024? Watch his full presentation here: https://lnkd.in/d9vpXf8R #PrivacyTech #PETs #DataPrivacy #OpenLoop #EODSummit2024 #Collaboration #Regulation

Curious about how to deploy AI models while ensuring your sensitive data stays completely private and secure? In our latest blog, we walk through deploying a 𝐒𝐭𝐚𝐛𝐥𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 image-generation application using 𝐎𝐁𝐋𝐕 𝐃𝐞𝐩𝐥𝐨𝐲 within 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 (𝐓𝐄𝐄𝐬)—ensuring that both your data and models remain protected throughout the process. Here’s why you should care: — 𝐃𝐚𝐭𝐚 𝐏𝐫𝐢𝐯𝐚𝐜𝐲: TEEs guarantee that your sensitive data is never exposed during processing or used for unintended purposes. — 𝐌𝐨𝐝𝐞𝐥 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲: Protect your intellectual property by ensuring your AI models stay secure and tamper-proof. — 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: TEEs ensure that all data and model handling adhere to strict privacy and security standards, helping your organisation meet compliance requirements. This practical tutorial guides you through the exact steps we followed to securely deploy an AI application. Read the full article here: https://lnkd.in/d3ZCdTq8 Interested in learning more about OBLV Deploy and what it can do? Check out our website: https://lnkd.in/gWUD5tFr #TEEs #DataPrivacy #OBLVDeploy #SecureEnclaves #StableDiffusion

🔍 𝐇𝐨𝐰 𝐂𝐚𝐧 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 (𝐏𝐄𝐓𝐬) 𝐁𝐞𝐜𝐨𝐦𝐞 𝐌𝐚𝐢𝐧𝐬𝐭𝐫𝐞𝐚𝐦? At the Eyes-Off Data Summit, Meta’s David Lehr shared the Open Loop initiative where tech companies, governments, and experts trial prototype privacy policies to ensure their effectiveness in real-world applications. His talk highlighted several takeaways for privacy tech adoption: — 𝐓𝐡𝐞 𝐏𝐄𝐓𝐬 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤: This tool offers a framework for companies to navigate privacy tech, from assessing risks to selecting the right PETs. — 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞s: Lehr noted that technical resources and legal uncertainties make scaling PETs difficult, especially for smaller firms. — 𝐂𝐥𝐞𝐚𝐫 𝐏𝐨𝐥𝐢𝐜𝐲 𝐚𝐧𝐝 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞𝐬: To promote PET adoption, Lehr argues for regulatory guidance, potential financial support, and clear rules around data anonymisation. — 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Continued dialogue among tech firms, governments, and regulators is crucial to advancing PET standards and usability. Dive into the full article here: https://lnkd.in/dQ7hvDsc #PrivacyTech #DataPrivacy #PETs #EODSummit2024 #DataSecurity

𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐚 𝐊𝐞𝐲 𝐃𝐫𝐢𝐯𝐞𝐫 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 At this year’s Eyes-Off Data Summit, experts from across the privacy, tech, and policy sectors came together to tackle some of the most pressing questions in data privacy. The consensus? Real progress demands collaboration across the board. Through the exchange of diverse perspectives and expertise, these interactions enable the development of strategies that meet regulatory requirements, align with ethical standards, and ensure practical applications across industries. For those who couldn't attend, we’ve got you covered with insightful summit-related articles on our website and recordings from some of the talks on our YouTube channel. Dive into the blog content from the EODS 2024: https://lnkd.in/dZjjqxru Watch the talks on YouTube: https://lnkd.in/dAfZ4UuH #DataPrivacy #PETs #Collaboration #EODS2024 #EODSummit2024

Missed this session at the Eyes-Off Data Summit 2024? Here’s your chance to catch up on the insights from Mayana Pereira’s impactful talk! Discover how Microsoft’s AI for Good Lab is tackling the digital divide with initiatives like the Broadband and Digital Literacy datasets, designed to provide crucial insights for communities in need. Mayana gives us a deep dive into the real-world application of differential privacy—with Microsoft using big data to impact policy and create positive social change while upholding individual privacy. Whether you're exploring privacy-preserving techniques or looking to leverage more data, this session is packed with actionable insights from one of the field’s leaders. Watch here: https://lnkd.in/dZdFnYnY #DataForGood #EyesOffMyData #EODS2024 #DigitalDivide #BigData #EODSummit2024

What are the best practices for 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐛𝐢𝐠 𝐝𝐚𝐭𝐚 𝐰𝐡𝐢𝐥𝐞 𝐬𝐚𝐟𝐞𝐠𝐮𝐚𝐫𝐝𝐢𝐧𝐠 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐩𝐫𝐢𝐯𝐚𝐜𝐲? At the Eyes-Off Data Summit 2024, Mayana Pereira from Microsoft shared insights into how responsibly shared data can transform society. Read our latest blog post to discover how Microsoft’s Broadband and Digital Literacy datasets are 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐜𝐥𝐨𝐬𝐞 𝐭𝐡𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐝𝐢𝐯𝐢𝐝𝐞 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐥𝐢𝐭𝐞𝐫𝐚𝐜𝐲 across underserved communities. Key insights from the talk include: 🔑 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐥 𝐏𝐫𝐢𝐯𝐚𝐜𝐲: Microsoft uses this privacy-preserving technique to anonymise data, ensuring user information remains protected while still offering valuable insights to policymakers. 🔑 𝐀𝐢𝐫𝐛𝐚𝐧𝐝 𝐈𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞: Microsoft aims to bring internet access to 250 million people globally by 2025, focusing on both infrastructure and digital literacy to ensure communities thrive in a connected world. 🔑 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 𝐛𝐲 𝐃𝐞𝐬𝐢𝐠𝐧: With strict privacy budgets tailored to each dataset, Microsoft ensures data is shared responsibly, balancing privacy with actionable insights. 🔑 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲 𝐢𝐧 𝐏𝐫𝐨𝐜𝐞𝐬𝐬: With clear documentation on how data is handled, Microsoft ensures that other organisations can adopt similar privacy-first approaches for data-sharing initiatives. 📖 Check out the full article here https://lnkd.in/d6Qrk4Pk #DataForGood #EyesOffMyData #DifferentialPrivacy #EODSummit2024

🧐 How vulnerable is your supposedly "anonymous" data? Andreas Dewes, co-founder of KIProtect, takes us through the startling ease of data re-identification at the Eyes-Off Data Summit 2024. His talk highlights the flaws in anonymisation practices, the rampant data brokerage industry, and how advanced AI tools are making personal data easier to exploit. 👉 If you missed his presentation at the Summit, you can watch it here: https://lnkd.in/dBBWEFfQ Don’t forget to subscribe to our YouTube channel for more insightful talks from this year’s event. #EyesOffMyData #DataPrivacy #EODS #Technology #EODSummit2024