USEC: Lecture 15: AI S&P Overview

Lecture Slides

See attached files

Materials

Reading for the lecture:

• Lee, H.P., Yang, Y.J., von Davier, T.S., Forlizzi, J. and Das, S., 2023. Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. In Proceedings of the 2024 ACM CHI Conference on Human Factors in Computing Systems (pp. 1-19).

Takehome

• (Blog) Iqbal, Umar, Tadayoshi Kohno, and Franziska Roesner. "LLM platform security: Applying a systematic evaluation framework to OpenAI's ChatGPT plugins." In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, vol. 7, pp. 611-623. 2024. https://ojs.aaai.org/index.php/AIES/article/view/31664/33831
• (Blog) West, Jack, et al. "A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok." 2024 IEEE Symposium on Security and Privacy (SP). IEEE, 2024.