Data Poisoning in Machine Learning: Why and How People Manipulate Training Data

The article discusses the growing threat of data poisoning in machine learning, where malicious actors manipulate training data to compromise model performance and integrity. It highlights the importance of understanding data provenance and implementing robust defenses to detect and mitigate such attacks, ensuring the reliability of AI systems.