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Ryan Feng
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Robot-Assisted Feeding: Generalizing Skewering Strategies Across Food Items on a Plate
R Feng, Y Kim, G Lee, EK Gordon, M Schmittle, S Kumar, T Bhattacharjee, ...
The International Symposium of Robotics Research, 427-442, 2019
392019
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
R Feng, N Mangaokar, J Chen, E Fernandes, S Jha, A Prakash
7th IEEE European Symposium on Security and Privacy, 2022
24*2022
Concept-based Explanations for Out-Of-Distribution Detectors
J Choi, J Raghuram, R Feng, J Chen, S Jha, A Prakash
arXiv preprint arXiv:2203.02586, 2022
72022
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach
A Hooda, N Mangaokar, R Feng, K Fawaz, S Jha, A Prakash
arXiv preprint arXiv:2202.05687, 2022
52022
Leveraging Image Processing Techniques to Thwart Adversarial Attacks in Image Classification
Y Jalalpour, LY Wang, R Feng, W Feng
2019 IEEE International Symposium on Multimedia (ISM), 2019
52019
Essential Features: Content-Adaptive Pixel Discretization to Improve Model Robustness to Adaptive Adversarial Attacks
R Feng, W Feng, A Prakash
arXiv preprint arXiv:2012.01699, 2020
4*2020
Investigating Stateful Defenses Against Black-Box Adversarial Examples
R Feng, A Hooda, N Mangaokar, K Fawaz, S Jha, A Prakash
arXiv preprint arXiv:2303.06280, 2023
32023
Understanding the Impact of Compression on Feature Detection and Matching in Computer Vision
W Feng, R Feng, P Wyatt, F Liu
2016 IEEE International Symposium on Multimedia (ISM), 457-462, 2016
32016
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
A Hooda, N Mangaokar, R Feng, K Fawaz, S Jha, A Prakash
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
R Feng, A Hooda, N Mangaokar, K Fawaz, S Jha, A Prakash
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
22023
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples
N Manohar-Alers, R Feng, S Singh, J Song, A Prakash
ICML 2021 Workshop on Adversarial Machine Learning, 2021
22021
ISIFT: extracting incremental results from SIFT
B Hamlin, R Feng, W Feng
Proceedings of the 9th ACM Multimedia Systems Conference, 195-203, 2018
22018
Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing
R Feng, S Jha, A Prakash
arXiv preprint arXiv:2205.08989, 2022
12022
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
A Hooda, N Mangaokar, R Feng, K Fawaz, S Jha, A Prakash
arXiv preprint arXiv:2307.16331, 2023
2023
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