引用次数
引用: 1,729
H-指数: 21
I10-指数 : 38
出版物: 74
Robustness against gradient based attacks through cost effective network fine-tuning
Akshay Agarwal , Nalini Ratha , Richa Singh , Mayank Vatsa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 28 -37
2
2023
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark
Akshay Agarwal , Nalini Ratha , Mayank Vatsa , Richa Singh
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) 1 -5
2
2021
Corruption depth: Analysis of DNN depth for misclassification
Akshay Agarwal , Mayank Vatsa , Richa Singh , Nalini Ratha
Neural Networks 172 106013 -106013
1
2024
Manipulating faces for identity theft via morphing and deepfake: Digital privacy
Akshay Agarwal , Nalini Ratha
Elsevier 48 223 -241
1
2023
Attention Guided Multi-attribute Architecture For Deepfake Detection
Rohan Sharma , Bhavin Jawade , Akshay Agarwal , Srirangaraj Setlur
2023 IEEE Western New York Image and Signal Processing Workshop (WNYISPW) 1 -4
2023
Federated Learning for Local and Global Data Distribution
Gaurav Goswami , Akshay Agarwal , Nalini K Ratha , Richa Singh
2023
3 Deep Learning in Computer Vision
Akshay Agarwal , Nalini Ratha
Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development 23 -23
2022
Deep Learning in Computer Vision: Progress and Threats
Akshay Agarwal , Nalini Ratha
CRC Press 23 -47
2022
Iris sensor identification in multi-camera environment
Akshay Agarwal , Rohit Keshari , Manya Wadhwa , Mansi Vijh
Information Fusion 45 333 -345
21
2019
MD-CSDNetwork: Multi-domain cross stitched network for deepfake detection
Aayushi Agarwal , Akshay Agarwal , Sayan Sinha , Mayank Vatsa
2021 16th IEEE international conference on automatic face and gesture recognition (FG 2021) 1 -8
18
2021
Enhanced iris presentation attack detection via contraction-expansion CNN
Akshay Agarwal , Afzel Noore , Mayank Vatsa , Richa Singh
Pattern Recognition Letters 159 61 -69
16
2022
Wavetransform: Crafting adversarial examples via input decomposition
Divyam Anshumaan , Akshay Agarwal , Mayank Vatsa , Richa Singh
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16 152 -168
14
2020
Facial retouching and alteration detection
Puspita Majumdar , Akshay Agarwal , Mayank Vatsa , Richa Singh
Springer International Publishing 367 -387
10
2022
Boosting face presentation attack detection in multi-spectral videos through score fusion of wavelet partition images
Akshay Agarwal , Richa Singh , Mayank Vatsa , Afzel Noore
Frontiers in big Data 5 836749 -836749
7
2022
Detection of digital manipulation in facial images (student abstract)
Aman Mehra , Akshay Agarwal , Mayank Vatsa , Richa Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35 ( 18) 15845 -15846
6
2021
Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?
Akshay Agarwal , Nalini Ratha , Afzel Noore , Richa Singh
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 961 -970
4
2023
Role of optimizer on network fine-tuning for adversarial robustness (student abstract)
Akshay Agarwal , Mayank Vatsa , Richa Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35 ( 18) 15745 -15746
4
2021
Panoptic defenses for secure computer vision
Akshay Agarwal , Richa Singh , Mayank Vatsa
IIIT-Delhi
2020
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks
Gaurav Goswami , Nalini Ratha , Akshay Agarwal , Richa Singh
national conference on artificial intelligence 6829 -6836
157
2018
DeepRing: Protecting Deep Neural Network with Blockchain
Akhil Goel , Akshay Agarwal , Mayank Vatsa , Richa Singh
CVPR Workshop on When Blockchain Meets Computer Vision and Artificial Intelligence
50
2019