Identify and simulate Data Poisoning attacks aimed at degrading or skewing an AI model's accuracy. This skill focuses on Adversarial Machine Learning concepts where attackers inject malicious or mislabelled data points into training or fine-tuning datasets (e.g., feedback loops) to bias the AI.
The English summary is being prepared. Showing the original description.
ShulkwiSEC/bb-huge23Updated Jul 11, 2026