Intro

I am a Ph.D. student in Computer Science and Engineering at the University of Michigan and am advised by Prof. Atul Prakash. Previously, I received my B.S. in Computer Engineering at the University of Washington.

My current research focuses on problems in adversarial machine learning at the intersection of security and AI. My goal is to work towards robust AI. Previously, I have conducted research in robotics at the Personal Robotics Lab and in computer vision. Outside of work, I enjoy watching sports, playing sports, and playing music.

Links and Contact Info: [Email] [C.V.] [LinkedIn] [Github]


Research

My current research work is in adversarial machine learning at the intersection of security and AI. More specifically, I am currently investigating the physical-world adversarial attack space, with the goal of furthering our understanding of machine learning vulnerabilities and developing robust AI from a security perspective.

Publications

  • Yeganeh Jalalpour, Li-Yun Wang, Ryan Feng, Wu-chi Feng, “Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification”, in Proceedings of the 2019 IEEE International Symposium on Multimedia (ISM 2019), December 2019. [Link]

  • Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, “Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate”, in Proceedings of the 2019 International Symposium on Robotics Research (ISRR 2019), October 2019. [Link] [Video]

  • Ben Hamlin, Wu-chi Feng, Ryan Feng, “ISIFT: Extracting Incremental Results from SIFT”, in Proceedings of ACM Multimedia Systems, June 2018. [Link]

  • Wu-chi Feng, Ryan Feng, Paul Wyatt, Feng Liu, “Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision”, in Proceedings of the 2016 IEEE International Symposium on Multimedia (ISM 2016), December 2016. [Link]

Selected Projects