Explore the dark side of AI! In this episode of Before AGI, we dive into the unsettling world of adversarial attacks – subtle manipulations that can trick even the most sophisticated AI systems into making dangerous mistakes.
Key Insights:
What are adversarial attacks, and how do they work (FGSM, PGD, C&W attacks)?
Real-world examples: fooling self-driving cars, manipulating image recognition, and corrupting chatbots.
Defense mechanisms: adversarial training, gradient masking, input transformation, and network distillation.
The ongoing arms race between attackers and defenders.
The ethical implications and the future of AI security.
Whether you're an AI researcher, a cybersecurity professional, or simply concerned about the trustworthiness of AI, this episode reveals the critical vulnerabilities and the ongoing battle to make AI more robust and secure.
More from Host Ian Ochieng:
🌐 Website: ianochiengai.substack.com
📺 YouTube: Ian Ochieng AI
🐦 Twitter: @IanOchiengAI
📸 Instagram: @IanOchiengAI
