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Facebook Builds AI Tool that Tricks Facial Recognition System to Wrongly Identify Person in Video

This de-identification technology earlier worked mostly for still images, The Verge reported

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Face recognition can lead to loss of privacy and face replacement technology may be misused to create misleading videos. Pixabay

Facebook’s artificial intelligence (AI) research team has developed a tool that tricks the facial recognition system to wrongly identify a person in a video, the media reported. Facebook.

The “de-identification” system, which also works in live videos, uses machine learning to change key facial features of a subject in a video, according to a report in VentureBeat on Friday.

“Face recognition can lead to loss of privacy and face replacement technology may be misused to create misleading videos,” reads a paper explaining the company’s approach, as cited by VentureBeat.

This de-identification technology earlier worked mostly for still images, The Verge reported.

Facebook, AI, Tool
The “de-identification” system, which also works in live videos, uses machine learning to change key facial features of a subject in a video, according to a report in VentureBeat on Friday. Pixabay

“Recent world events concerning advances in, and abuse of face recognition technology invoke the need to understand methods that deals with de-identification. Our contribution is the only one suitable for video, including live video, and presents quality that far surpasses the literature methods,” said the paper.

The work is scheduled to be presented at the International Conference on Computer Vision (ICCV), in Seoul, South Korea, next week.

The development comes at a time when Facebook is facing a $35 billion class-action lawsuit for alleged misuse of facial recognition data in Illinois. A US court has denied Facebook’s request to quash the lawsuit.

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A three-judge panel of the ninth circuit judges in San Francisco rejected Facebook’s plea to quash the lawsuit. The case would now go to trial unless the Supreme Court intervened, TechCrunch reported last week. (IANS)

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Facebook Removes 3.2 Billion Fake Accounts

Facebook removes 3.2 billion fake accounts and 11.4 million hate speech posts

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Facebook kills 3.2bn fake accounts and11.4 million hate speech posts. Pixabay

As the US Presidential election approaches, Facebook said that it has removed more than 3.2 billion fake accounts in the April-September period along with taking action on 11.4 million hate speech posts in the same period.

In total, Facebook removed 5.4 billion fake accounts and 15.5 million hate speech posts since January.

“Over the past two quarters, we have improved our ability to detect and block attempts to create fake, abusive accounts. We can estimate that every day, we prevent millions of attempts to create fake accounts using these detection systems,” the social networking giant said on Wednesday.

The majority of such accounts were caught within minutes of registration, before they became a part of Facebook monthly active user (MAU) population.

“Our proactive rate remained above 99 per cent for both quarters. Prevalence for fake accounts continues to be estimated at approximately 5 per cent of our worldwide monthly active users (MAU) on Facebook,” said the company.

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In total, Facebook removed 5.4 billion fake accounts since January. Pixabay

Earlier this year, Facebook began allowing its hate speech algorithms to begin automatically removing content that violates its policies.

“One result of that decision has been a sharp spike in the amount of hate speech taken off Facebook,” said the company.

Facebook said It is using machine learning-based detection technology that can find and flag hate speech using several different methods.

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“Starting in Q2 2019, our systems began removing posts automatically when they received very high scores or matched existing hate speech in our database. In all other cases when our systems detect potential hate speech, they send the post to our review team to determine if it should be removed,” explained the company. (IANS)