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Learn about the latest security threats and defensive strategies for generative AI in this conference talk from SK AI SUMMIT 2024. Explore comprehensive security guidelines for LLM applications as companies increasingly build their own language models to protect sensitive information. Discover various security threats facing LLM applications, including personal data leaks, malicious attacks, and model misuse, while gaining practical insights into vulnerability analysis and mitigation strategies. Benefit from the expertise of white-hat hacker Lee Ho-seok from SK Shieldus, who has conducted penetration testing for over 100 companies and develops security methodologies for emerging technologies like Cloud and AI to create a safer cyber environment.
Syllabus
안전한 AI 활용을 위한 생성형 AI 해킹기법 및 보안전략 | SK쉴더스 이호석
Taught by
SK AI SUMMIT 2024