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2020 – today
- 2024
[c8]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash
:
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. WACV 2024: 3800-3810- [i10]Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin:
Achieving the Safety and Security of the End-to-End AV Pipeline. CoRR abs/2409.03899 (2024) - 2023
- [c7]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: 786-800 - [c6]Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash:
Concept-based Explanations for Out-of-Distribution Detectors. ICML 2023: 5817-5837 - [i9]Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash:
Investigating Stateful Defenses Against Black-Box Adversarial Examples. CoRR abs/2303.06280 (2023) - [i8]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 abs/2307.16331 (2023) - 2022
- [c5]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: 664-683 - [i7]Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash:
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. CoRR abs/2202.05687 (2022) - [i6]Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash:
Concept-based Explanations for Out-Of-Distribution Detectors. CoRR abs/2203.02586 (2022) - [i5]Ryan Feng, Somesh Jha, Atul Prakash:
Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. CoRR abs/2205.08989 (2022) - 2021
- [j1]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): 57 (2021) - [i4]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 abs/2107.00561 (2021) - 2020
- [i3]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 abs/2002.07088 (2020) - [i2]Ryan Feng, Wu-chi Feng, Atul Prakash:
Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. CoRR abs/2012.01699 (2020)
2010 – 2019
- 2019
- [c4]Yeganeh Jalalpour, Li-Yun Wang, Ryan Feng, Wu-chi Feng:
Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification. ISM 2019: 184-191 - [c3]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: 427-442 - [i1]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 abs/1906.02350 (2019) - 2018
- [c2]Ben Hamlin, Ryan Feng, Wu-chi Feng:
ISIFT: extracting incremental results from SIFT. MMSys 2018: 195-203 - 2016
- [c1]Wu-chi Feng, Ryan Feng, Paul Wyatt, Feng Liu:
Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision. ISM 2016: 457-462
Coauthor Index
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