Model Poisoning

Federated Learning Attacks : Defending Decentralized AI From Data Poisoning

Artificial intelligence has completely changed how we handle massive amounts of information. We no longer need to send all our private data to one central server. Instead, we use something called federated learning. This method allows models to learn from … Read More

Adversarial AI in Medicine: Defending models from targeted data poisoning.

Adversarial AI in Medicine is not a distant, theoretical threat; it is the most critical emerging security challenge facing healthcare technology today. It moves beyond traditional hacking, which focuses on stealing data, to the far more insidious goal of corrupting … Read More