| 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 | 45 | 2019 |
| 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 | 27* | 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 | 8 | 2022 |
| 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 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 5 | 2019 |
| 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 | 4 | 2023 |
| 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 |
| 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 | 3 | 2024 |
| Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing R Feng, S Jha, A Prakash arXiv preprint arXiv:2205.08989, 2022 | 3 | 2022 |
| 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 | 3 | 2016 |
| 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 | 2 | 2021 |
| ISIFT: extracting incremental results from SIFT B Hamlin, R Feng, W Feng Proceedings of the 9th ACM Multimedia Systems Conference, 195-203, 2018 | 2 | 2018 |
| 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 |
Atul PrakashProfessor of EECS, University of Michigan在 umich.edu 的电子邮件经过验证
