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mike claims that a certain software runs an INT8-quantized TensorFlow Lite model on 960×540 images every few seconds to determine which game the user is playing. The model file is named alex.tflite and is in fact AlexNet, with a structure that appears to follow torchvision.models.alexnet. According to mike's observations, the model performs nearest-neighbor feature matching against a database, but this does not work in 99% of cases, and the results are discarded before the consent authorization step. At present, this claim comes only from mike's inspection and observations, with no additional independent sources or official response.
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mike says a certain software uses the AlexNet TFLite model to recognize games
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Oct 25
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Mike discovered that an app uses an AlexNet TFLite model every few seconds to identify which game you are playing
Mike's inspection revealed that an app runs an INT8-quantized TensorFlow Lite model on 960×540 images every few seconds to determine which game the user is playing. The model is named alex.tflite and is in fact AlexNet, with a structure that appears to follow torchvision.models.alexnet. It performs nearest-neighbor feature matching against a database, but according to Mike's observations it fails to work in 99% of cases, and the results are discarded before the consent authorization step.