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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh, Akshay Agarwal, Maneet Singh, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 09, pp. 13583-13589
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber, et al.
IEEE Transactions on Technology and Society (2021) Vol. 3, Iss. 1, pp. 16-30
Open Access | Times Cited: 91
Biometrics: Trust, But Verify
Anil K. Jain, Debayan Deb, Joshua J. Engelsma
IEEE Transactions on Biometrics Behavior and Identity Science (2021) Vol. 4, Iss. 3, pp. 303-323
Open Access | Times Cited: 78
Adversarial Attacks Against Face Recognition: A Comprehensive Study
Fatemeh Vakhshiteh, Ahmad Nickabadi, Raghavendra Ramachandra
IEEE Access (2021) Vol. 9, pp. 92735-92756
Open Access | Times Cited: 41
Image Transformation based Defense Against Adversarial Perturbation on Deep Learning Models
Akshay Agarwal, Richa Singh, Mayank Vatsa, et al.
IEEE Transactions on Dependable and Secure Computing (2020), pp. 1-1
Closed Access | Times Cited: 46
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston
Information Fusion (2021) Vol. 75, pp. 55-69
Open Access | Times Cited: 36
Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection
Aman Mehra, Akshay Agarwal, Mayank Vatsa, et al.
IEEE Transactions on Biometrics Behavior and Identity Science (2022) Vol. 5, Iss. 1, pp. 39-52
Closed Access | Times Cited: 23
Ethics in digital and AI coaching
Sandra J. Diller
Human Resource Development International (2024) Vol. 27, Iss. 4, pp. 584-596
Open Access | Times Cited: 5
The coach bots are coming: exploring global coaches’ attitudes and responses to the threat of AI coaching
Sandra J. Diller, Loana-Corine Stenzel, Jonathan Passmore
Human Resource Development International (2024) Vol. 27, Iss. 4, pp. 597-621
Open Access | Times Cited: 5
Cognitive data augmentation for adversarial defense via pixel masking
Akshay Agarwal, Mayank Vatsa, Richa Singh, et al.
Pattern Recognition Letters (2021) Vol. 146, pp. 244-251
Closed Access | Times Cited: 29
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia, Zhaojun Lu, Haichun Zhang, et al.
(2022)
Open Access | Times Cited: 21
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN
Anubhav Jain, Puspita Majumdar, Richa Singh, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 2870-2879
Closed Access | Times Cited: 27
DNDNet: Reconfiguring CNN for Adversarial Robustness
Akhil Dhanesh Goel, Akshay Agarwal, Mayank Vatsa, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 103-110
Closed Access | Times Cited: 24
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters
Akshay Agarwal, Mayank Vatsa, Richa Singh, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 3354-3363
Closed Access | Times Cited: 24
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 21
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset
Anoop Krishnan, Ali Almadan, Ajita Rattani
Lecture notes in computer science (2021), pp. 229-243
Closed Access | Times Cited: 18
Adversarial Relighting Against Face Recognition
Qian Zhang, Qing Guo, Ruijun Gao, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 9145-9157
Open Access | Times Cited: 2
A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems
S. H. Park, Soo-Hyun Lee, Min Young Lim, et al.
IEEE Access (2024) Vol. 12, pp. 116693-116710
Open Access | Times Cited: 2
Adversarial attacks through architectures and spectra in face recognition
Carmen Bisogni, Lucia Cascone, Jean‐Luc Dugelay, et al.
Pattern Recognition Letters (2021) Vol. 147, pp. 55-62
Closed Access | Times Cited: 17
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector
Akshay Agarwal, Gaurav Goswami, Mayank Vatsa, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 8, pp. 3277-3289
Closed Access | Times Cited: 15
An Examination of Bias of Facial Analysis based BMI Prediction Models
Hera Siddiqui, Ajita Rattani, Karl Ricanek, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 2925-2934
Open Access | Times Cited: 10
Parameter agnostic stacked wavelet transformer for detecting singularities
Akshay Agarwal, Mayank Vatsa, Richa Singh, et al.
Information Fusion (2023) Vol. 95, pp. 415-425
Closed Access | Times Cited: 5
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, et al.
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (2021), pp. 1-8
Open Access | Times Cited: 12
Exploring Robustness Connection between Artificial and Natural Adversarial Examples
Akshay Agarwal, Nalini Ratha, Mayank Vatsa, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 178-185
Closed Access | Times Cited: 8
MagNet: Detecting Digital Presentation Attacks on Face Recognition
Akshay Agarwal, Richa Singh, Mayank Vatsa, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 11
Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?
Akshay Agarwal, Nalini Ratha, Afzel Noore, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 961-970
Closed Access | Times Cited: 4
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