Black-box Attacks

Black-box attacks are a type of cyber intrusion where an attacker targets an AI system without knowing its internal workings or data. They rely solely on observing the system’s outputs when provided with various inputs. By analyzing these responses, the attacker can identify patterns or vulnerabilities and craft inputs that deceive the AI, such as fooling it into making incorrect decisions or revealing sensitive information. This approach is akin to testing a lock by trying different keys without knowing its internal mechanism, making it a significant security concern for AI systems.