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Cornell Tech researchers have developed a mechanism for preserving anonymity in encrypted messaging – which conceals message content but might not cloak the sender’s identity – while simultaneously bl...
Whether you’re using the same old phone, or you received a new smartphone as a holiday gift, the last thing you want to do is put yourself — and your personal information — at risk. Vitaly Shmatikov, ...
The promise of big data lies in researchers' ability to mine massive datasets for insights that can save lives, improve services and inform our understanding of the world.These data may be generated b...
Using baseball as a metaphor, this practical, engaging session will explore the security and privacy risks with a number of technologies for storing, handling and communicating health information and ...
As we increasingly rely on the Internet to connect to everything from banks and electrical grids to medical devices and autonomous vehicles, we are exposed to new vulnerabilities that threaten our sec...
With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular. The goal in CF is to generate predictions wit...
Aiming at ensuring privacy preservation in personal data publishing, the topic of anonymization has been intensively studied in recent years. However, existing anonymization techniques all assume each...

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