Three researchers from Kyushu University have published a paper describing a means of reliably fooling AI-based image classifiers with a single well-placed pixel. It's part of a wider field of "adversarial preturbation" to disrupt machine-learning models; it's a field that started with some modest achievements, but has been gaining ground ever since.
Three researchers from Kyushu University have published a paper describing a means of reliably fooling AI-based image classifiers with a single well-placed pixel. It's part of a wider field of "adversarial preturbation" to disrupt machine-learning models; it's a field that started with some modest achievements, but has been gaining ground ever since.
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