“This work represents a major step ahead in strengthening our data benefit as we fight subtle disinformation campaigns and synthetic-media threats,” says Bustamante. Hive was chosen out of a pool of 36 firms to check its deepfake detection and attribution know-how with the DOD. The contract might allow the division to detect and counter AI deception at scale.
Defending towards deepfakes is “existential,” says Kevin Guo, Hive AI’s CEO. “That is the evolution of cyberwarfare.”
Hive’s know-how has been skilled on a considerable amount of content material, some AI-generated and a few not. It picks up on alerts and patterns in AI-generated content material which might be invisible to the human eye however will be detected by an AI mannequin.
“Seems that each picture generated by considered one of these mills has that type of sample in there if you already know the place to search for it,” says Guo. The Hive crew consistently retains observe of latest fashions and updates its know-how accordingly.
The instruments and methodologies developed by way of this initiative have the potential to be tailored for broader use, not solely addressing defense-specific challenges but additionally safeguarding civilian establishments towards disinformation, fraud, and deception, the DOD mentioned in a press release.
Hive’s know-how offers state-of-the-art efficiency in detecting AI-generated content material, says Siwei Lyu, a professor of laptop science and engineering on the College at Buffalo. He was not concerned in Hive’s work however has examined its detection instruments.
Ben Zhao, a professor on the College of Chicago, who has additionally independently evaluated Hive AI’s deepfake know-how, agrees however factors out that it’s removed from foolproof.
“Hive is definitely higher than many of the industrial entities and among the analysis methods that we tried, however we additionally confirmed that it’s not in any respect exhausting to avoid,” Zhao says. The crew discovered that adversaries might tamper with pictures in a means that bypassed Hive’s detection.
