The term “Backdoor Attack in AI” primarily belongs in the fields of Artificial Intelligence, cybercrime and cybersecurity, as well as digital transformation.
A backdoor attack in AI describes a hidden attack on artificial intelligence systems. Attackers deliberately introduce a „backdoor“ into an AI model, often during the training process. The goal is that under certain conditions, the model can later be manipulated without the operators noticing. Attackers could thus inject foreign commands or make the AI behave undesirably.
A simple example: In an image recognition.
Backdoor attacks in AI are particularly dangerous because they are difficult to detect and can cause significant damage. Companies should therefore pay attention to the origin and development of their AI solutions to protect themselves from such attacks.
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