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Starts 30 June 2025 06:10

Ends 30 June 2025

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Compromising LLMs - The Advent of AI Malware

Join us for an in-depth exploration of the security risks associated with integrating AI in various sectors. This session, titled "Compromising LLMs - The Advent of AI Malware," delves into the specifics of prompt injections and the rising threat of potential malware within language models. As AI becomes more prevalent, understanding these ch.
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Overview

Join us for an in-depth exploration of the security risks associated with integrating AI in various sectors. This session, titled "Compromising LLMs - The Advent of AI Malware," delves into the specifics of prompt injections and the rising threat of potential malware within language models.

As AI becomes more prevalent, understanding these challenges becomes imperative for the development and deployment of safe AI assistants.

Presented through YouTube, this talk is an essential resource for professionals and enthusiasts in the field of artificial intelligence, offering critical insights into future challenges and the serious consequences that can arise from vulnerabilities in AI systems. Don't miss this opportunity to gain a deeper understanding of the currently evolving landscape in AI security.

Syllabus

  • Introduction to AI and Language Models
  • Overview of AI systems and their integration
    Introduction to Large Language Models (LLMs)
  • Understanding AI Security Risks
  • Definition and significance of AI security
    Common vulnerabilities in AI systems
  • Prompt Injection Attacks
  • What is a prompt injection?
    Real-world examples of prompt injection in LLMs
    Techniques to detect and mitigate prompt injection attacks
  • Potential AI Malware
  • Definition and characteristics of AI malware
    How AI malware can be created and deployed
    Case studies of potential AI-driven malware
  • Future Challenges in AI Security
  • AI and the evolution of cybersecurity threats
    The role of AI in securing versus attacking systems
    Upcoming trends and anticipated challenges
  • Consequences for AI Assistants
  • Impact on individuals and businesses
    Guidelines for developing secure AI assistants
    Ethical considerations in AI security
  • Strategies for Mitigating AI Security Risks
  • Best practices in AI security
    Regulatory and compliance issues
    Importance of continuous monitoring and adaptation
  • Conclusion
  • Summary of key lessons
    Future outlook for AI and security
  • Additional Resources
  • Recommended readings
    Relevant tools and technologies for AI security
    Ongoing research topics and initiatives

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