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Published 30 April 2021
Army researchers developed a deepfake detection method that will allow for the creation of state-of-the-art soldier technology to support mission-essential tasks such as adversarial threat detection and recognition. This work specifically focuses on a lightweight, low training complexity and high-performance face biometrics technique that meets the size, weight and power requirements of devices soldiers will need in combat.
Army researchers developed a deepfake detection method that will allow for the creation of state-of-the-art soldier technology to support mission-essential tasks such as adversarial threat detection and recognition.
This work specifically focuses on a lightweight, low training complexity and high-performance face biometrics technique that meets the size, weight and power requirements of devices soldiers will need in combat.
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ADELPHI, Md. Army researchers developed a Deepfake detection method that will allow for the creation of state-of-the-art Soldier technology to support mission-essential tasks such as adversarial threat detection and recognition.
This work specifically focuses on a lightweight, low training complexity and high-performance face biometrics technique that meets the size, weight and power requirements of devices Soldiers will need in combat.
Researchers at the U.S. Army Combat Capabilities Development Command, known as DEVCOM, Army Research Laboratory, in collaboration with Professor C.-C. Jay Kuo s research group at the University of Southern California, set out to tackle the significant threat that Deepfake poses to our society and national security. The result is an innovative technological solution called DefakeHop. The researchers worked under the laboratory director s Research Award for External Collaborative Initiative and the Army AI Innovation Institute.