Ryan Feng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Visual Classification

Machine Learning Models

Computer Vision

Top Venues

Publications

Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV (2024)
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. CCS (2023)
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR (2023)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. CoRR (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-of-Distribution Detectors. ICML (2023)
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR (2022)
Ryan Feng, Somesh Jha, Atul Prakash
Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. CoRR (2022)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-Of-Distribution Detectors. CoRR (2022)
Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems. EuroS&P (2022)
Ryan Feng, Yu Yao, Ella M. Atkins
Smart Black Box 2.0: Efficient High-Bandwidth Driving Data Collection Based on Video Anomalies. Algorithms 14 (2) (2021)
Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. CoRR (2021)
Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash
Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification. CoRR (2020)
Ryan Feng, Wu-chi Feng, Atul Prakash
Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. CoRR (2020)
Yeganeh Jalalpour, Li-Yun Wang, Ryan Feng, Wu-chi Feng
Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification. ISM (2019)
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 Plate. ISRR (2019)
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. CoRR (2019)
Ben Hamlin, Ryan Feng, Wu-chi Feng
ISIFT: extracting incremental results from SIFT. MMSys (2018)
Wu-chi Feng, Ryan Feng, Paul Wyatt, Feng Liu
Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision. ISM (2016)