AI Security & Adversarial Attacks › Defending Against Adversarial Attacks
What is Defending Against Adversarial Attacks
BeginnerAnswer
Defending against adversarial attacks involves techniques designed to make AI models more resistant to specially crafted inputs meant to trick them.
Real-world example A team trains their image classifier on adversarial examples specifically to make it more resistant to being tricked in the future.