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Did you know? According to the World Economic Forum's 2024 Global Risks Report, #AI-related risks are gaining significant attention, with "AI-generated misinformation or disinformation" ranking second only to extreme weather. 🌍 As generative AI continues to advance, it's crucial to detect image authenticity and establish robust security mechanisms. In this week's AICS #TechTalk, AICS Scientific Advisor and NYCU Professor Wei-Chen Chiu spoke on "Redteaming Text-to-Image Models for Cybersecurity & Turning Vision-Language Models for Deepfake Detection." Currently, most existing models struggle to identify fake/generated images, with success rates around 60% or lower. Professor Chiu led the lab to explore new methods leveraging VLMs and minimizing variables through prompt engineering, and improved success rates to 93%.✨ Regarding cybersecurity, inspired by the "shield and spear paradox," the lab adopted an active #redteaming approach. By training models to attempt jailbreaks and conducting offense-defense exercises, the team was able to achieved a much more reliable and comprehensive safety mechanism. 🛡️ Thank you, Professor Chiu, for your insights and bringing a new perspective to vision-language models! #ASUS #AICS #GenAI #Cybersecurity #DeepFake #Innovation

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