What Is Data Poisoning: Everything You Need To Know
Data poisoning is a type of attack targeting machine learning systems. It involves introducing false or misleading data into a training dataset. This can lead to flawed or malicious outputs from the model. Imagine a machine learning system trained to distinguish between cats and dogs. If poisoned data featuring mislabeled images is fed into it, the system could start making mistakes. It might misidentify a cat as a dog or vice versa.