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Illicit generative AI models raise cybersecurity concerns

JAPAN (ANN/THE YOMIURI SHIMBUN) – Online accessibility to multiple generative artificial intelligence models capable of generating information on creating computer viruses, scam emails, explosives, and other materials for criminal purposes is causing growing alarm. These generative AI models are suspected to have originated from training existing open-source models on data related to criminal activities.  The […]

Tokyo
Japan
Takashi-yoshikawa
Masaki-kamizono
Mitsui-bussan-secure-directions-inc
Deloitte-tohmatsu-group
Mitsui-bussan-secure-directions
Communications-apps-computer-viruses-criminal-activities-cyberattack-cybersecurity-concern-generative-ai-artificial-intelligence-technology-open-source-models-ransomware-search-engines

AI models trained to give information for criminal purposes give rise to cyberattack concerns

AI models trained to give information for criminal purposes give rise to cyberattack concerns Asia News Network (ANN) is the leading regional alliance of news titles striving to bring the region closer, through an active sharing of editorial content on happenings in the region.

Japan
Tokyo
Masaki-kamizono
Takashi-yoshikawa
Yomiuri-shimbun
U-openai-inc
Mitsui-bussan-secure-directions-inc
Deloitte-tohmatsu-group
Mitsui-bussan-secure-directions

Researchers say objects can hide from computer vision by seeking out unusual company that trips correlation bias

The team therefore started to create composite images and test them with the YOLOv3 object detection system to see if they could effectively hide things by placing them next to objects that computer vision systems have been trained to see as unlikely correlations. That approach saw computer vision systems suggest that mashup images of dogs and cats depicted a horse. Another interesting result came with images of STOP signs and fruit. Computer vision systems spotted the fruit, but could not identify the STOP sign. The researchers created a STOP sign, photographed it against odd backgrounds, and succeeded in making computer vision systems fail to detect it.

Paul-ziegler
Minn-pa
Pa
Masaki-kamizono
Google
Deloitte-tohmatsu-cyber
Microsoft
Black-hat-asia-computer
Black-hat-asia
Deloitte-japan
Common-objects-in-context
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