Microsoft Develops Video Authenticator to Identify Deepfakes

Microsoft debuted a Video Authenticator tool that can analyze a still photo or video to determine the percentage of the chance that it is an AI-manipulated deepfake. For videos, Microsoft said the tool will work on a frame-by-frame basis in real time. The company’s tool is based on a FaceForensics++ public database and detects the “blending boundary” of the deepfake, with “subtle fading or grayscale elements” that may be indistinguishable by the human eye. It has been tested on the Deepfake Detection Challenge dataset. Continue reading Microsoft Develops Video Authenticator to Identify Deepfakes

Quality of Deepfakes and Textfakes Increase Potential Impact

FireEye data scientist Philip Tully showed off a convincing deepfake of Tom Hanks he built with less than $100 and open-source code. Until recently, most deepfakes have been low quality and pretty easy to spot. FireEye demonstrated that now, even those with little AI expertise can use published AI code and a bit of fine-tuning to create much more convincing results. But many experts believe deepfake text is a bigger threat, as the GPT-3 autoregressive language model can produce text that is difficult to distinguish from that written by humans. Continue reading Quality of Deepfakes and Textfakes Increase Potential Impact

AI Foundation Plans to Scale Platform With Series B Funding

San Francisco-based AI Foundation, founded in 2017 by Rob Meadows and Lars Buttler, just closed a series B round for $17 million together with Mousse Partners, You & Mr. Jones, Founders Fund, Alpha Edison and Stone. The foundation previously closed a series A funding of $10.5 million in September 2018. The AI Foundation is both a commercial artificial intelligence company and nonprofit enterprise with the mission of bringing “the power and protection of AI to everyone in the world so they can participate fully in the future.” Continue reading AI Foundation Plans to Scale Platform With Series B Funding

Deepfakes Go Mainstream for Corporate Training, Other Uses

Although deepfakes have mainly been associated with fake news, hoaxes and pornography, they’re now also being used for more conventional tasks, including corporate training. WPP, with startup Synthesia, has created localized training videos by using AI to change presenters’ faces and speech. WPP chief technology officer Stephan Pretorius noted that the localized videos are more compelling and “the technology is getting very good very quickly.” In COVID-19 times, deepfakes can also lower costs and speed up production. Continue reading Deepfakes Go Mainstream for Corporate Training, Other Uses

UK Proposes Internet Laws, Reuters to Fact-Check Facebook

The United Kingdom proposed that its media regulator Ofcom take on the responsibility of regulating Internet content, in part to encourage Facebook, YouTube and other Internet behemoths to police their own platforms. Ofcom would be able to issue penalties against companies lax in fighting “harmful and illegal terrorist and child abuse content.” Many details have yet to be filled in. Meanwhile, Reuters has formed a new Fact Check business unit, which is poised to become a third-party partner aimed at ferreting out misinformation on Facebook. Continue reading UK Proposes Internet Laws, Reuters to Fact-Check Facebook

Shares Rise as Twitter’s Revenue Passes $1B for First Time

Twitter revealed that, in Q4, revenue rose 11 percent to $1.01 billion, the first time that quarterly revenue topped the billion-dollar mark, and surpassing the $992 million projected by Wall Street analysts. The company stated that income was $118.8 million, with costs rising 22 percent from a year earlier. Its operating income, a closely watched number, was $153 million, down from $207 million the previous year and lower than the $161 million predicted by analysts surveyed by FactSet. Shares rose about 15 percent. Continue reading Shares Rise as Twitter’s Revenue Passes $1B for First Time

New Twitter Policy Aims to Combat Fake Photos and Video

Twitter announced yesterday that it would be more assertive in identifying fake and manipulated content on its platform. Beginning next month, the company plans to add labels or remove tweets that feature such manipulated images and video content. While short of an outright ban, the new policy is meant to address the growing concern of users frustrated by the practice of disinformation spread via social platforms. However, it also highlights the challenges faced by social media companies in regards to balancing freedom of speech, parody and satire, and false or manipulated content. On Monday, YouTube announced its plans to better manage misleading political content on its site. Continue reading New Twitter Policy Aims to Combat Fake Photos and Video

Big Tech, Academics Launch Deepfake Detection Challenge

A coalition of Big Tech companies and academics have banded together to fight deepfakes. Facebook, Amazon Web Services (AWS), Microsoft, the Partnership on AI, and academics at Cornell Tech, MIT, University of Oxford, UC Berkeley, University of Maryland College Park and the State University of New York at Albany just launched the Deepfake Detection Challenge announced in September. The problem is serious; deepfakes have swindled companies and could sway public opinion during upcoming elections. Continue reading Big Tech, Academics Launch Deepfake Detection Challenge

Big Tech, DARPA Ramp Up Deepfake Research, Detection

Movies and TV shows have combined real and CG images for decades, for the purpose of entertainment. But we’re seeing the rise of deepfakes, which mix fake and real elements in still images or videos with a malignant or harmful aim. Many Big Tech companies that have benefited from letting users post and share photos are now turning their attention to battling deepfakes. According to cybersecurity startup Deeptrace, the number of deepfakes online has nearly doubled to 14,678 from December 2018 to August 2019. Continue reading Big Tech, DARPA Ramp Up Deepfake Research, Detection

Major Tech Firms Are Taking Action to Combat Deepfakes

Ahead of next year’s U.S. Presidential election, social platform Twitter is planning to introduce a new policy that intends to help curb manipulated media including altered videos known as “deepfakes.” Twitter plans to create its first ever such policy regarding deepfakes and will seek feedback from the public in doing so. Meanwhile, Amazon Web Services has joined Facebook, Microsoft and others in the Deepfake Detection Challenge (DFDC) and will serve as a tech partner and committee member helping to oversee the challenge. Continue reading Major Tech Firms Are Taking Action to Combat Deepfakes

Google Offers Deepfakes for Researching Detection Methods

Google, in cooperation with its internal tech incubator Jigsaw, released a large number of deepfakes, which have been added to the FaceForensics benchmark run by the Technical University of Munich and the University of Naples Federico II. The deepfakes will be available for free to researchers developing detection techniques. Previously, Google released text-to-speech models as part of the AVspoof 2019 competition to develop systems to distinguish between real and computer-generated speech. Continue reading Google Offers Deepfakes for Researching Detection Methods

CES Panel: Building the Quantum Internet With 6G, Intention

Axios chief technology correspondent Ina Fried asked why we’re talking about 6G when 5G is just beginning to make an appearance. “Before we get into what comes after 5G, how ready are we to connect billions of devices?” she asked. She got a quick answer from Public Knowledge cybersecurity policy director Megan Stifel. “We’re getting there, but we’re not there yet,” she said. “At least we’re beginning to see companies think about ‘secure to market,’ but there is no core baseline required. This keeps me up at night.” Continue reading CES Panel: Building the Quantum Internet With 6G, Intention

Nvidia Reveals Use of Neural Networks to Create Virtual City

Nvidia used processing power and neural networks to create a very convincing virtual city, which will be open for tours by attendees to this year’s NeurIPS AI conference in Montreal. Nvidia’s system, which uses existing videos of scenery and objects to create these interactive environments, also makes it easier for artists to create similar virtual worlds. Nvidia vice president of applied deep learning Bryan Catanzaro said generative models are key to making the process of creating virtual worlds cost effective. Continue reading Nvidia Reveals Use of Neural Networks to Create Virtual City

Scientists and Military Look for Key to Identifying Deepfakes

The term “deepfakes” describes the use of artificial intelligence and computer-generated tricks to make a person (usually a well-known celebrity or politician) appear to do or say “fake” things. For example, actor Alden Ehrenreich’s face was recently replaced by Harrison Ford’s face in footage from “Solo: A Star Wars Story.” The technique could be meant simply for entertainment or for more sinister purposes. The more convincing deepfakes become, the more unease they create among AI scientists, and military and intelligence communities. As a result, new methods are being developed to help combat the technology. Continue reading Scientists and Military Look for Key to Identifying Deepfakes

Google Pledges $300 Million in Effort to Clean Up Fake News

Google has set its sights on combating fake news on the Internet, pledging to spend $300 million over the next three years in support of what The New York Times calls “authoritative journalism.” The Google News Initiative’s goals include making it easier for Googlers to subscribe to news and providing publishers with tools for fast-loading mobile pages. In partnership with Harvard Kennedy School’s First Draft initiative, Google will also create a “Disinfo Lab” to identify fake news, particularly during moments when it’s breaking.

Continue reading Google Pledges $300 Million in Effort to Clean Up Fake News