Data Poisoning: A Catch-22 Situation

What is Data Poisoning? If you all remember a famous case of data bias issue, wherein Google Photos labeled a picture of African-American couple as “Gorillas”, then you know what I am talking about. ML models which are the subset of AI, are specifically susceptible to such data poisoning attacks. ML models that rely heavily on training and labeled data to learn and make conclusions, are at a risk of making biased decision or conclusion if their training data is corrupted. Similar situation is possible in AI powered cybersecurity solutions such as Intelligent Intrusion Detection Systems and Malware Detectors. And […]