Computer-implemented method and device for generating an anomaly

A computer-implemented method for generating an anomaly, the method comprising the following steps:

• mapping a first representation of a digital input in a state space onto the digital input using a first model which is configured to map the first representation onto the digital input, the digital input including a digital time series, or a digital audio signal, or a digital image, or a video image, or a radar image, or a LiDAR image, or an ultrasound image, or an image from a motion sensor, or an infrared image;
• mapping the digital input onto a prediction for a content contained in the digital input using a second model which is configured to map the digital input onto the prediction;
• determining a second representation in the state space which degrades the prediction based on a measure that characterizes a quality of the prediction;
• and
• generating the anomaly based on the second representation.

An apparatus configured to generate an anomaly, comprising:

• at least one processor;
• and
• at least one memory, wherein the at least one processor is designed to execute instructions stored on the at least one memory, the instructions, when executed by the at least one processor, causing the at least one processor to the following steps:
• mapping a first representation of a digital input in a state space onto the digital input using a first model which is configured to map the first representation onto the digital input, the digital input including a digital time series, or a digital audio signal, or a digital image, or a video image, or a radar image, or a LiDAR image, or an ultrasound image, or an image from a motion sensor, or an infrared image,
• mapping the digital input onto a prediction for a content contained in the digital input using a second model which is configured to map the digital input onto the prediction,
• determining a second representation in the state space which degrades the prediction based on a measure that characterizes a quality of the prediction, and
• generating the anomaly based on the second representation.

A non-transitory computer-readable medium on which is stored a computer program including for generating an anomaly, the instructions, when executed by at least one processor, causing the at least one processor to perform the following steps:

• mapping a first representation of a digital input in a state space onto the digital input using a first model which is configured to map the first representation onto the digital input, the digital input including a digital time series, or a digital audio signal, or a digital image, or a video image, or a radar image, or a LiDAR image, or an ultrasound image, or an image from a motion sensor, or an infrared image;
• mapping the digital input onto a prediction for a content contained in the digital input using a second model which is configured to map the digital input onto the prediction;
• determining a second representation in the state space which degrades the prediction based on a measure that characterizes a quality of the prediction;
• and
• generating the anomaly based on the second representation.