Can Machine Learning Poisoning Affect AI Models?

As machine learning applications increase, the threats of data poisoning also rise, making it imperative for organizations to secure their machine learning data against fraudulent manipulation. FREMONT, CA: Machine learning (ML) and artificial intelligence (AI) models are algorithms designed to make decisions and perform actions based on the data they ingest. However, like all data-based systems, they are not invincible to attacks. One of the most common threats to ML is ML poisoning, which involves feeding fraudulent or misleading data into the ML algorithms. Business data is based on data, and any errors in the data can lead to bad decisions.