|Inspect, understand, overcome: a survey of practical methods for AI safety|
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
arXiv preprint arXiv:2104.14235, 2021
|The vulnerability of semantic segmentation networks to adversarial attacks in autonomous driving: Enhancing extensive environment sensing|
A Bar, J Lohdefink, N Kapoor, SJ Varghese, F Huger, P Schlicht, ...
IEEE Signal Processing Magazine 38 (1), 42-52, 2020
|Unsupervised temporal consistency metric for video segmentation in highly-automated driving|
S Varghese, Y Bayzidi, A Bar, N Kapoor, S Lahiri, JD Schneider, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
|From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation|
N Kapoor, A Bär, S Varghese, JD Schneider, F Hüger, P Schlicht, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
|Risk assessment for machine learning models|
P Schwerdtner, F Greßner, N Kapoor, F Assion, R Sass, W Günther, ...
arXiv preprint arXiv:2011.04328, 2020
|An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks|
S Varghese, S Gujamagadi, M Klingner, N Kapoor, A Bar, JD Schneider, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
|A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs|
N Kapoor, C Yuan, J Löhdefink, R Zimmerman, S Varghese, F Hüger, ...
Computer Science in Cars Symposium, 1-8, 2020
|Method for Making a Neural Network More Robust in a Function-Specific Manner|
N Kapoor, P Schlicht, NM Schmidt
US Patent App. 17/612,241, 2022
|User-Guided Variable Rate Learned Image Compression|
R Gupta, S BV, N Kapoor, R Jaiswal, SR Nangi, K Kulkarni
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
|Method for recognizing an adversarial disturbance in input data of a neural network|
N Kapoor, P Schlicht, JS Varghese
US Patent App. 16/986,556, 2021
|Supplementary: User-Guided Variable Rate Learned Image Compression|
R Gupta, BV Suryateja, N Kapoor, R Jaiswal, S Nangi, K Kulkarni