| DeepCorrect: Correcting DNN models against image distortions TS Borkar, LJ Karam IEEE Transactions on Image Processing 28 (12), 6022-6034, 2019 | 100 | 2019 |
| Defending Against Universal Attacks Through Selective Feature Regeneration T Borkar, F Heide, L Karam 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 42 | 2020 |
| Systems and methods for feature transformation, correction and regeneration for robust sensing, transmission, computer vision, recognition and classification L Karam, T Borkar US Patent 11,030,485, 2021 | 21 | 2021 |
| Generative sensing: Transforming unreliable sensor data for reliable recognition LJ Karam, T Borkar, Y Cao, J Chae 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 4 | 2018 |
| Robust Deep Learning Through Selective Feature Regeneration TS Borkar Arizona State University, 2020 | | 2020 |
| Automated cell counting in a high density, polymer-coated, live single cell sandwich microarray JR Yaron, J Pan, T Borkar, KB Lee, KC Wang, CL Anderson, HL Glenn, ... Microscopy and Microanalysis 20 (S3), 1438-1439, 2014 | | 2014 |
| Automated bird plumage coloration quantification in digital images TS Borkar, LJ Karam Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | | 2014 |
| Automated Animal Coloration Quantification in Digital Images using Dominant Colors and Skin Classification T Borkar Arizona State University, 2013 | | 2013 |
| Defending Against Universal Attacks Through Selective Feature Regeneration (Supplementary Material) T Borkar, F Heide, L Karam, AMA Perturbation | | |
Lina KaramEmerita Professor, Arizona State University; IEEE FellowVerified email at asu.edu
