Data Party THU

Sep 22, 2025 · Artificial Intelligence

How to Secure Large‑Model Training: Practical Techniques and Real‑World Cases

This article systematically examines the major security challenges of large‑model training—including data leakage, adversarial attacks, bias, and supply‑chain risks—and presents concrete solutions such as differential privacy, federated learning, adversarial training, backdoor detection, and lifecycle protection to guide practitioners toward safer AI deployments.