Explore a critical evaluation of poisoning attacks on federated learning in this 20-minute IEEE conference talk. Delve into traditional machine learning, cross-device FL, and various poisoning attack strategies. Examine key questions, prior work, and three main dimensions of attacks. Analyze global model parameters, model poisoning, and practical threat models. Gain insights into untargeted attacks, data poisoning, and key results across different federated learning scenarios. Evaluate the robustness of federated learning systems and understand the implications for both cross-silo and cross-device implementations.