AI trojan horse techniques outpace defenses, study finds

The increasingly wide use of deep neural networks (DNNs) for such computer vision tasks as facial recognition, medical imaging, object detection, and autonomous driving is going to, if not already, catch the attention of cybercriminals. DNNs have become foundational to deep learning and to the larger field of artificial intelligence (AI). They're a multi-layered class of machine learning algorithms that essentially try to mimic how a human brain works and are becoming more popular in developing modern applications. That use is expected to increase rapidly in the coming years. According to analysts with Emergen Research, the worldwide market for DNN technology will grow from $1.26bn in 2019 to $5.98bn by 2027, with demand in such industries as healthcare, banking, financial services and insurance surging.