This is achieved by using large data sets that train the parameters in the model. Perhaps the most well-known examples of machine learning currently are ChatGPT and BARD – and while this post ...

If the machine-learning "attacker" is aware that adversarial examples may be protecting a data set from analysis, he or she can use what's known as "adversarial training"—generating their own ...