Securing AI: Bosch AIShield

Play video
This article is a summary of a YouTube video "Bosch AIShield - The Need to Secure AI" by AI Infrastructure Alliance
TLDR Adversarial threats in AI pose a significant risk to society, and there is an urgent need to secure AI systems through the development of guidelines and frameworks by regulatory organizations.

Key insights

  • 💣
    Adversarial threats in AI, such as model extraction, evasion, data poisoning, and model inference, can have detrimental effects on society, highlighting the urgent need to secure AI systems.
  • 🌍
    Regulatory organizations like the FDA, EU Parliament, and NIST are recognizing the need to secure AI and are taking steps to develop guidelines and frameworks for AI security.
  • 🛡️
    Adversarial examples can be generated to evade AI models, causing model evasion attacks and potentially compromising their effectiveness.
  • 🛡️
    The impact of having an AI security solution in place can significantly reduce the accuracy of stealing algorithms, highlighting the importance of AI security for organizations.
Play video
This article is a summary of a YouTube video "Bosch AIShield - The Need to Secure AI" by AI Infrastructure Alliance
4.4 (11 votes)
Report the article Report the article
Thanks for feedback Thank you for the feedback

We’ve got the additional info