Author Response for: "Inverting Gradients - How easy is it to break privacy in federated learning" We thank all reviewers for their valuable feedback and interest in this attack. Some questions arose about the theoretical analysis for fully connected layers. Finally knowledge of the feature representation already enables attacks like Melis et al. This non-uniformity is a significant result for the privacy of gradient batches. Fig.4 of [35] looks better because the attack scenario there is easier.

A huge data breach has leaked over 50,000 profiles from the'Gay Daddy' dating app, cybersecurity researchers have discovered. The exposed data contains extremely sensitive information including users' names, ages, location data and HIV status. According to experts from Cybernews, the exposed database also contains over 124,000 private messages and photos – many of which are explicit. While the app markets itself as a'private and anonymous community', researchers say the information could be accessed by anyone with'basic technical knowledge'. Researchers say the app's'devastating' security failure puts its users at serious risk of blackmail, exploitation and even physical harm.

Google announced a series of upgrades to its Google Photos service, used by more than a billion users, at today's Google I/O developer event, which was virtually streamed this year due to COVID. The company is rolling out Locked Folders, new types of photo "Memories" for reminiscing over past events, as well as a new feature called "Cinematic moments" that will animate a series of static photos, among other updates. Today, Google Photos stores over 4 trillion photos and videos, but the majority of those are never viewed. To change that, Google has been developing AI-powered features to help its users reflect on meaningful moments from their lives. With Memories, launched in 2019, Google Photos is able to resurface photos and videos focused on people, activities and hobbies as well as recent highlights from the week prior.

Millions of people's private photos have been leveraged by the cloud photo service, Ever, to develop and sell facial recognition software without their consent says an exclusive report by NBC News. According to the report, Ever, which started in 2013 as a cloud-based app for storing and sharing photos, has recently started to pivot into a burgeoning field of facial recognition technology through its new arm, Ever AI. In order to train its software, which according to the company's web page, is capable of delivering'surveillance & monitoring, physical access control, and digital authentication,' it used the personal photos from its millions of its users without informing them first. According to the privacy policy and a statement from CEO of Ever, Doug Aley, the company does not distribute users' photos to third parties, but does use them to instruct its algorithm. Specifically, it leverages a facial recognition feature built into the Ever service which allows users to group photos of the same people by scanning their face.

A security flaw in gay dating app Jack'd has left private intimate photos publicly exposed on the internet. Anyone with a web browser who knows where to look can access millions of private photos, even if they do not have a Jack'd account. Researcher Oliver Hough told BBC News he had reported the flaw to Jack'd a year ago but it has still not been fixed. The company has not responded to a request for comment. News site The Register first reported the flaw on 5 February, even though it had not been fixed, in order to warn the app's users.