Model Poisoning Turns Helpful AI Into a Trojan Horse

1. 1Poisoning the weights by manipulating the model's training data or parameters
2. 2Triggering triggers to activate the backdoor behavior
3. 3Exfiltrating data through the compromised model
4. 4Hiding the data to avoid detection

Security teams and AI engineers benefit from understanding model poisoning to protect their models from malicious attacks and ensure the integrity of their AI systems

💡 Model poisoning can compromise the security and integrity of machine learning models

⚠️ Model poisoning: a malicious attack that turns AI into a Trojan horse 🤖