Ryan Feng - RankMe

22 papers A* 3A 3C 3Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Test-Time Canonicalization by Foundation Models for Robust Perception. ICML Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash
2025	J	`jnl`	Test-Time Canonicalization by Foundation Models for Robust Perception. CoRR Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash
2024	—	`conf`	Achieving the Safety and Security of the End-to-End AV Pipeline. CSCS Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin
2024	J	`jnl`	Achieving the Safety and Security of the End-to-End AV Pipeline. CoRR Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin
2024	A	`conf`	D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2023	A*	`conf`	Concept-based Explanations for Out-of-Distribution Detectors. ICML Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
2023	J	`jnl`	Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
2023	A*	`conf`	Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. CCS Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash
2023	J	`jnl`	Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. CoRR Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2022	J	`jnl`	Concept-based Explanations for Out-Of-Distribution Detectors. CoRR Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
2022	J	`jnl`	Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. CoRR Ryan Feng, Somesh Jha, Atul Prakash
2022	A	`conf`	GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems. EuroS&P Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, Atul Prakash
2022	J	`jnl`	Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
2021	J	`jnl`	Smart Black Box 2.0: Efficient High-Bandwidth Driving Data Collection Based on Video Anomalies. Algorithms Ryan Feng, Yu Yao, Ella M. Atkins
2021	J	`jnl`	Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. CoRR Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash
2020	J	`jnl`	Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. CoRR Ryan Feng, Wu-chi Feng, Atul Prakash
2020	J	`jnl`	Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification. CoRR Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash
2019	C	`conf`	Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification. ISM Yeganeh Jalalpour, Li-Yun Wang, Ryan Feng, Wu-chi Feng
2019	C	`conf`	Robot-Assisted Feeding: Generalizing Skewering Strategies Across Food Items on a Plate. ISRR Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa
2019	J	`jnl`	Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate. CoRR Ryan Feng, Youngsun Kim, Gilwoo Lee, Ethan K. Gordon, Matt Schmittle, Shivaum Kumar, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa
2018	A	`conf`	ISIFT: extracting incremental results from SIFT. MMSys Ben Hamlin, Ryan Feng, Wu-chi Feng
2016	C	`conf`	Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision. ISM Wu-chi Feng, Ryan Feng, Paul Wyatt, Feng Liu