| 2025 | ICML | Test-Time Canonicalization by Foundation Models for Robust Perception. | Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash |
| 2024 | WACV | D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. | Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash |
| 2023 | CCS | Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. | Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash |
| 2023 | ICML | Concept-based Explanations for Out-of-Distribution Detectors. | Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash |
| 2019 | ISM | Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification. | Yeganeh Jalalpour, Li-Yun Wang, Ryan Feng, Wu-chi Feng |
| 2019 | ISRR | Robot-Assisted Feeding: Generalizing Skewering Strategies Across Food Items on a Plate. | Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa |
| 2018 | MMSys | ISIFT: extracting incremental results from SIFT. | Ben Hamlin, Ryan Feng, Wu-chi Feng |
| 2016 | ISM | Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision. | Wu-chi Feng, Ryan Feng, Paul Wyatt, Feng Liu |