Security News
Napoleon Gonzalez, of Etna, assumed the identity of his brother in 1965, a quarter century after his sibling's death as an infant, and used the stolen identity to obtain Social Security benefits under both identities, multiple passports and state identification cards, law enforcement officials said. A new investigation was launched in 2020 after facial identification software indicated Gonzalez's face was on two state identification cards.
Abstract: In this paper we describe how to plant novel types of backdoors in any facial recognition model based on the popular architecture of deep Siamese neural networks, by mathematically changing a small fraction of its weights. These backdoors force the system to err only on specific persons which are preselected by the attacker.
Clearview AI does not have a legitimate interest in collecting and using this data either, particularly given the intrusive and massive nature of the process, which makes it possible to retrieve the images present on the Internet of several tens of millions of Internet users in France. The seriousness of this breach led the CNIL chair to order Clearview AI to cease, for lack of a legal basis, the collection and use of data from people on French territory, in the context of the operation of the facial recognition software it markets.
We will shut down the Face Recognition system on Facebook as part of a company-wide move to limit the use of facial recognition in our products. That was a sort-of two way street, helping people who actively wanted to promote themselves on Facebook to help Facebook itself target them with ads.
Facebook announced today that they will no longer use the Face Recognition system on their platform and will be deleting over 1 billion people's facial recognition profiles. Facebook's Face Recognition system analyzes photos taken of tagged users and associated users' profile photos to build a unique identifier or template.
Facebook announced today that they will no longer use the Face Recognition system on their platform and will be deleting over 1 billion people's facial recognition profiles. Facebook's Face Recognition system analyzes photos taken of tagged users and associated users' profile photos to build a unique identifier or template.
Abstract: A master face is a face image that passes face-based identity-authentication for a large portion of the population. These faces can be used to impersonate, with a high probability of success, any user, without having access to any user-information.
A study of face recognition technology created after the onset of the COVID-19 pandemic shows that some software developers have made demonstrable progress at recognizing masked faces. A previous report from July explored the effect of masked faces on algorithms submitted before March 2020, indicating that software available before the pandemic often had more trouble with masked faces.
Now that so many of us are covering our faces to help reduce the spread of COVID-19, how well do face recognition algorithms identify people wearing masks? The answer, according to a preliminary study by the National Institute of Standards and Technology, is with great difficulty. Identify people wearing masks using facial recognition algorithms.
Today, Facebook and Instagram can automatically tag a user in photos, while Google Photos can group one's photos together via the people present in those photos using Google's own image recognition technology. Led by Professor Mohan Kankanhalli, Dean of the School of Computing at the National University of Singapore, the research team from the School's Department of Computer Science has developed a technique that safeguards sensitive information in photos by making subtle changes that are almost imperceptible to humans but render selected features undetectable by known algorithms.