Posted in 2022
An Empirical Study of Artifacts and Security Risks in the Pre-Trained Model Supply Chain (SCORED 2022)
- 07 November 2022
This paper was led by Wenxin Jiang (Purdue University, working with James C. Davis), with contributions from Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, and Taylor R. Schorlemmer. I am one of the key leaders of this research project. The work appeared at SCORED ‘22 (ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses), co-located with ACM CCS 2022.
Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence
- 23 February 2022
I’m glad to share Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence, an edited volume I co-edited with Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, and Bo Chen, published by Chapman & Hall/CRC (Routledge/CRC Press). This post also covers the companion survey that laid the groundwork for the book, “A Survey of Methods for Low-Power Deep Learning and Computer Vision”, led by Abhinav Goel and Caleb Tung (Purdue University), with Yung-Hsiang Lu and myself, presented at WF-IoT 2020.