Course Overview - AI Security
As AI systems are rapidly integrated into critical infrastructure, software development, and decision-making processes, they introduce a new set of vulnerabilities.This course introduces you to the security challenges of modern AI systems and examines how vulnerabilities can be introduced during system architecture design, model development, training, and deployment. You’ll explore how attacks like prompt injection, adversarial inputs, data poisoning, and model extraction exploit foundation models, retrieval-augmented systems, and AI agents. You’ll also learn about common AI misapplications and the risks introduced by multi-agent collaboration. Alongside these threats, you’ll examine emerging defenses such as secure architectures, verifiable training, and prompt-level protections, gaining a deeper understanding of how to assess and improve AI system security.
By analyzing real-world breaches and misapplications and engaging in hands-on exercises, you will gain valuable insights into the limitations of current AI systems and be equipped with the knowledge and skills to build more secure, robust, and trustworthy AI applications.
· Explain how vulnerabilities can be introduced during system architecture design, model development, training, prompt handling, and deployment
· Identify potential vulnerabilities in AI systems—including prompt injection, adversarial examples, model extraction, data poisoning, and jailbreaks—and assess their impact on system behavior
· Mitigate the risks of misapplying AI systems due to overestimating their capabilities or using them for tasks beyond their intended scope
· Assess security implications of foundation models, retrieval-augmented generation (RAG), and multi-agent or agentic AI systems
· Interpret real-world breaches and misuse cases, such as deepfakes and model leaks, to understand emerging threat patterns
· Apply defenses, including verifiable training and inference, prompt-level protections, and secure code generation
· Describe the limitations of current AI defenses and the ongoing research challenges in securing and verifying these systems
· Identify and explore emerging research opportunities and innovative potential within the field of AI Security
Learn more and enroll in this course:
https://online.stanford.edu/courses/xacs134-ai-security Receive SMS online on sms24.me
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