Unravelling robustness of deep learning based face recognition against adversarial attacks G Goswami, N Ratha, A Agarwal, R Singh, M Vatsa Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 195 | 2018 |
Face anti-spoofing using haralick features A Agarwal, R Singh, M Vatsa 2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016 | 138 | 2016 |
Face anti-spoofing with multifeature videolet aggregation TA Siddiqui, S Bharadwaj, TI Dhamecha, A Agarwal, M Vatsa, R Singh, ... 2016 23rd International Conference on Pattern Recognition (ICPR), 1035-1040, 2016 | 122 | 2016 |
Detecting and mitigating adversarial perturbations for robust face recognition G Goswami, A Agarwal, N Ratha, R Singh, M Vatsa International Journal of Computer Vision, 1-24, 2019 | 116 | 2019 |
Face Presentation Attack with Latex Masks in Multispectral Videos A Agarwal, D Yadav, N Kohli, R Singh, M Vatsa, A Noore IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017 | 115 | 2017 |
Swapped! digital face presentation attack detection via weighted local magnitude pattern A Agarwal, R Singh, M Vatsa, A Noore 2017 IEEE International Joint Conference on Biometrics (IJCB), 659-665, 2017 | 81 | 2017 |
On the Robustness of Face Recognition Algorithms Against Attacks and Bias R Singh, A Agarwal, M Singh, S Nagpal, M Vatsa Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 76 | 2020 |
Are image-agnostic universal adversarial perturbations for face recognition difficult to detect? A Agarwal, R Singh, M Vatsa, N Ratha 2018 IEEE 9th International Conference on Biometrics Theory, Applications …, 2018 | 63 | 2018 |
Fusion of handcrafted and deep learning features for large-scale multiple iris presentation attack detection D Yadav, N Kohli, A Agarwal, M Vatsa, R Singh, A Noore Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 63 | 2018 |
Image transformation-based defense against adversarial perturbation on deep learning models A Agarwal, R Singh, M Vatsa, N Ratha IEEE Transactions on Dependable and Secure Computing 18 (5), 2106-2121, 2020 | 60 | 2020 |
DeepRing: Protecting Deep Neural Network with Blockchain A Goel, A Agarwal, M Vatsa, R Singh, N Ratha CVPR Workshop on When Blockchain Meets Computer Vision and Artificial …, 2019 | 54 | 2019 |
Smartbox: Benchmarking adversarial detection and mitigation algorithms for face recognition A Goel, A Singh, A Agarwal, M Vatsa, R Singh 2018 IEEE 9th international conference on biometrics theory, applications …, 2018 | 52 | 2018 |
Evading Face Recognition via Partial Tampering of Faces P Majumdar, A Agarwal, R Singh, M Vatsa CVPR Workshop on The Bright and Dark Sides of Computer Vision: Challenges …, 2019 | 38 | 2019 |
Securing CNN Model and Biometric Template using Blockchain A Goel, A Agarwal, M Vatsa, R Singh, N Ratha IEEE International Conference on Biometrics: Theory, Applications and …, 2019 | 37 | 2019 |
DNDNet: Reconfiguring CNN for Adversarial Robustness A Goel, A Agarwal, M Vatsa, R Singh, NK Ratha IEEE CVPR Workshop on fair, data efficient and trusted computer vision (CVPRW), 2020 | 36 | 2020 |
Cognitive data augmentation for adversarial defense via pixel masking A Agarwal, M Vatsa, R Singh, N Ratha Pattern Recognition Letters 146, 244-251, 2021 | 33 | 2021 |
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters A Agarwal, M Vatsa, R Singh, NK Ratha IEEE CVPR Workshop on adversarial machine learning in computer vision (CVPRW), 2020 | 29 | 2020 |
Generalized iris presentation attack detection algorithm under cross-database settings M Gupta, V Singh, A Agarwal, M Vatsa, R Singh 2020 25th International Conference on Pattern Recognition (ICPR), 5318-5325, 2021 | 25 | 2021 |
Motion magnified 3-d residual-in-dense network for deepfake detection A Mehra, A Agarwal, M Vatsa, R Singh IEEE Transactions on Biometrics, Behavior, and Identity Science 5 (1), 39-52, 2022 | 23 | 2022 |
Damad: Database, attack, and model agnostic adversarial perturbation detector A Agarwal, G Goswami, M Vatsa, R Singh, NK Ratha IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3277-3289, 2021 | 21 | 2021 |