The National Security Agency (NSA) has shared a guide for teleworkers to keep their home network secure. This is not a case as the NSA is keenly aware of the dangers of remote work life. This “Best Practices for Securing Your Home Network” Cybersecurity Information Sheet (CSI) is aimed at helping teleworkers to protect their...
In this proposal, Jaap-Henk Hoepman describes a system where banks, credit card companies and shops, no longer see the payments of their customers’ thanks to a special wallet app on smartphones that anonymize the transaction. Read this article here
In its latest cyber strategy, Biden administration will impose federally mandated security rules on critical infrastructure, making holding software manufacturers accountable for their products’ security and pushing the government to fight against cyber criminals. Read more on this article by the Washington Post
Starting from March 1, 2023, OpenAI has declared it won’t use any data submitted through its API for “service improvements”. Additionally, the company its implementing additional features to have a more privacy-compliant data-retention policy. Read more here
On February 28, 2023, the EDPB has adopted its opinion on the draft adequacy decision regarding the EU-U.S. Data Privacy Framework. Even if it has welcomed the improvements of the framework, the EDPB has still expressed concerns and requests of clarifications on several points such as to certain rights of data subjects, onward transfers, the...
According to this article by GamingTechLaw, Meta should have paid VAT for data acquired from Italian users when they sign up to the Meta-owned platforms. The position of the Italian Public Prosectur lays to the company’s profits gained by the usage of those data for profiled advertising. Experts say that the effects of this investigation...
Modern mobile devices have access to a wealth of data suitable for learning models, which is often privacy sensitive. This may preclude logging to the data center and training using conventional approaches. For this reason, here is proposed an alternative that leaves the training data distributed on the mobile devices, and learns a shared model...
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