FB pixel

Deepfake voice attacks are here to put detection to the real-world test

Deepfake voice attacks are here to put detection to the real-world test
 

It’s put up or shut up time for biometric software companies and public researchers claiming they can detect deepfake voices.

Someone sent robocalls as part of disinformation tactic in the United States purporting to be President Joe Biden. It sounded like Biden telling people not to vote in a primary election, but it could have been AI. No one, not even vendors selling deepfake detection software, can agree.

Software maker ID R&D, a unit of Mitek, is stepping into the market, and responded to the previous big voice cloning scandal in the U.S., involving pop star Taylor Swift, with a video showing that its voice biometrics liveness code can differentiate real recordings from digital impersonation.

The electoral fraud attempt poses a different kind of challenge.

A Bloomberg article this week looked at what might have been the first deepfake audio dirty trick played on Biden. But no one knows if it was an actor or AI.

Citing two other detector makers, ElevenLabs and Clarity, Bloomberg could find no certainty.

ElevenLabs’ software found it unlikely that the misinformation attack was the result of biometric fraud. Not so, Clarity, which apparently found it 80 percent likely to be a deepfake.

(ElevenLabs, which focuses on creating voices, became a unicorn. The company raised an $80 million series B this month, executives said the company is valued at more than $1 billion, according to Crunchbase.)

As is often the case, some hope springs from research, and in this case, it’s qualified.

A team of students and alums from University of California – Berkeley say that they have developed a method of detection that function with as little as no errors.

Of course, that’s in a lab setting and the research team feels the method will require “proper context,” to be understood.

The team gave a deep-learning model raw audio to process and extract multi-dimensional representations. The model uses these so-called embeddings to parse real from fake.

Article Topics

 |   |   |   |   |   | 

Latest Biometrics News

 

Biometrics disrupting the future of movement, on and offline

Biometrics are disrupting different areas of life, from how people interact with governments for basic services to the esoteric world…

 

Alexa, sue Amazon: tech giant faces class action over voice recordings

Users of Amazon’s Alexa are clear to pursue a class action over allegedly illegal recordings of private conversations. In Seattle,…

 

Epic Games provides Yoti facial age estimation to Bluesky for UK users

Social media platform Bluesky has selected Epic Games’ software, including biometrics-based age estimation from Yoti, to ensure its compliance with…

 

RealSense targets robotics, 3D facial recognition security with $50M in hand

RealSense has cut the cord tying it to Intel Corp, where the 3D camera company was born, with $50 million…

 

Will Congress reaffirm US cyber threat sharing framework before it’s too late?

As the September 30 expiration date for the Cybersecurity Information Sharing Act of 2015 (CISA 2015) rapidly approaches, Congress faces…

 

World pauses German operations for Orb update amid regulatory faceoff

World is facing a potential cease-and-desist order in the Philippines, and has put its iris scanning stations on hold in…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Biometric Market Analysis

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events