Akshay Agarwal, PhD
Akshay Agarwal, PhD
Postdoctoral Associate, University at Buffalo, SUNY, NY
Verified email at iiitd.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
1002018
Face anti-spoofing using Haralick features
A Agarwal, R Singh, M Vatsa
2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016
852016
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
642016
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
482017
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
442019
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
352017
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
332018
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
242018
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
242018
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
172020
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
162019
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
132019
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
122019
Iris sensor identification in multi-camera environment
A Agarwal, R Keshari, M Wadhwa, M Vijh, C Parmar, R Singh, M Vatsa
Information Fusion 45, 333-345, 2019
112019
Mobile periocular matching with pre-post cataract surgery
R Keshari, S Ghosh, A Agarwal, R Singh, M Vatsa
2016 IEEE International Conference on Image Processing (ICIP), 3116-3120, 2016
112016
Crafting A Panoptic Face Presentation Attack Detector
S Mehta, A Uberoi, A Agarwal, M Vatsa, R Singh
12th IAPR International Conference on Biometrics (ICB), 2019
82019
Fingerprint sensor classification via mélange of handcrafted features
A Agarwal, R Singh, M Vatsa
2016 23rd International Conference on Pattern Recognition (ICPR), 3001-3006, 2016
82016
Deceiving Face Presentation Attack Detection via Image Transforms
A Agarwal, A Sehwag, M Vatsa, R Singh
IEEE International Conference on Multimedia Big Data (BigMM), 2019
72019
Image transformation based defense against adversarial perturbation on deep learning models
A Agarwal, R Singh, M Vatsa, NK Ratha
IEEE Transactions on Dependable and Secure Computing, 2020
62020
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
62020
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