Machine Learning Security

Machine learning security involves protecting AI systems from threats that could manipulate their behavior or steal data. Since these systems learn from data, malicious actors might feed them false information (data poisoning), trick them into making wrong decisions (adversarial attacks), or access sensitive information. Ensuring security means safeguarding the training data, models, and outputs to maintain accuracy, fairness, and privacy. It's a vital part of deploying reliable AI systems, preventing hackers from exploiting vulnerabilities, and ensuring these tools serve users ethically and securely.