tl;dr: Berkeley researchers trained models on a possibly-accidentally-leaked Chinese dataset -- images of US naval ships, suspiciously labeled with bounding boxes around their radar systems.
They're making the point that training models like this can give some intelligence towards another country's ML capabilities (here, China). In my opinion, a cool work that has way more "contribution" than your average AI conference paper.
(And full disclosure: I contributed a bit of feedback on their writing.)
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tl;dr: Berkeley researchers trained models on a possibly-accidentally-leaked Chinese dataset -- images of US naval ships, suspiciously labeled with bounding boxes around their radar systems.
They're making the point that training models like this can give some intelligence towards another country's ML capabilities (here, China). In my opinion, a cool work that has way more "contribution" than your average AI conference paper.
(And full disclosure: I contributed a bit of feedback on their writing.)