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Akshay Agarwal, PhD
Akshay Agarwal, PhD
Assistant Professor, IISER Bhopal, India
Verified email at iiserb.ac.in - Homepage
Title
Cited by
Cited by
Year
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
2062018
Face anti-spoofing using haralick features
A Agarwal, R Singh, M Vatsa
2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016
1412016
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
1242016
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
1222019
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
1162017
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
872017
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
822020
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
692020
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
662018
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
652018
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
572019
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
542018
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
432019
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
422019
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
382020
Cognitive data augmentation for adversarial defense via pixel masking
A Agarwal, M Vatsa, R Singh, N Ratha
Pattern Recognition Letters 146, 244-251, 2021
362021
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
312020
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
272022
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
252021
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
232021
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