生成aiのセキュリティ概観 ――リスク・攻撃手法・対策――

Key Points

• The aim is to evaluate security risks and vulnerabilities in generative AI systems.
• Analysis of potential triggering conditions for AI errors using minimal adversarial examples.
• Review of known attack methods against generative AI.
• Assessment of countermeasures to mitigate security breaches.
• Demonstrates that around 250 instances of malicious data can trigger faults in AI with specific keywords.
• Identifies various attack methods effective against current generative AI implementations.