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Post: AI Vs. AI: McAfee And Intel’s Innovative Approach To Stop Deepfakes

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AI Vs. AI: McAfee And Intel’s Innovative Approach To Stop Deepfakes
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McAfee worked with Intel to dramatically improve performance of McAfee Deepfake Detector on systems … [+] The creation of realistic audio and video deepfakes has become a pressing issue. The ability to produce highly convincing fake content is no longer confined to high-end production studios but is now accessible to the average user. This democratization of technology has led to significant societal concerns, particularly around cyber threats, misinformation and fraud.

Deepfake technology has been exploited in various malicious ways, such as creating fake videos of CEOs to facilitate phishing scams. Earlier this year, a firm in Hong Kong was tricked into transferring $25 million by attackers using deepfakes. An article from ArsTechnica shared, “The scam featured a digitally recreated version of the company’s chief financial officer, along with other employees, who appeared in a video conference call instructing an employee to transfer funds.”

Deepfakes also pose a serious risk for manipulating public opinion. A growing number of people rely on social media and other online sources for information and are susceptible to convincing deepfakes. With the 2024 elections on the horizon, the potential for deepfakes to impact public perception is alarming.

A study commissioned by McAfee in January of 2024 among 7,000 adults found that nearly two-thirds (64%) of people globally are more concerned about deepfakes today than they were just a year ago, highlighting the growing unease surrounding this technology. Improving McAfee Deepfake Detector

McAfee has worked closely with Intel to dramatically improve the performance of McAfee Deepfake Detector. On systems where it’s available, the McAfee tool leverages the Neural Processing Unit integrated into Intel Core Ultra processors to enhance the detection and analysis of deepfakes directly on the device. This approach not only boosts performance but also ensures user privacy by processing data locally, eliminating the need to send potentially sensitive information to the cloud.

The McAfee Deepfake Detector, initially showcased as “Project Mockingbird,” utilizes transformer-based Deep Neural Network models that have been expertly trained to detect discrepancies in audio that may indicate a deepfake. This technology was prominently featured at the 2024 CES conference, where McAfee demonstrated its capability to […]

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