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Saheb Chhabra
Saheb Chhabra
Verified email at iiitd.ac.in
Title
Cited by
Cited by
Year
Anonymizing k-facial attributes via adversarial perturbations
S Chhabra, R Singh, M Vatsa, G Gupta
International Joint Conference on Artificial Intelligence, 656--662, 2018
452018
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images
A Malhotra, S Mittal, P Majumdar, S Chhabra, K Thakral, M Vatsa, R Singh, ...
Pattern Recognition 122, 108243, 2022
152022
Unravelling small sample size problems in the deep learning world
R Keshari, S Ghosh, S Chhabra, M Vatsa, R Singh
2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 134-143, 2020
132020
Detecting fraudulent bank checks
S Chhabra, G Gupta, M Gupta, G Gupta
IFIP International Conference on Digital Forensics, 245-266, 2017
102017
Data fine-tuning
S Chhabra, P Majumdar, M Vatsa, R Singh
AAAI Conference on Artificial Intelligence 33 (01), 8223-8230, 2019
72019
Subgroup invariant perturbation for unbiased pre-trained model prediction
P Majumdar, S Chhabra, R Singh, M Vatsa
Frontiers in big Data 3, 590296, 2021
52021
On privacy preserving anonymization of finger-selfies
A Malhotra, S Chhabra, M Vatsa, R Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
52020
A novel abnormality annotation database for covid-19 affected frontal lung x-rays
S Mittal, VK Venugopal, VK Agarwal, M Malhotra, JS Chatha, S Kapur, ...
medRxiv, 2021
42021
Df 2.0: An automated, privacy preserving, and efficient digital forensic framework that leverages machine learning for evidence prediction and privacy evaluation
R Verma, J Govindaraj Dr, S Chhabra, G Gupta
Journal of Digital Forensics, Security and Law 14 (2), 3, 2019
42019
On detecting domestic abuse via faces
P Majumdar, S Chhabra, R Singh, M Vatsa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
42018
Attack agnostic adversarial defense via visual imperceptible bound
S Chhabra, A Agarwal, R Singh, M Vatsa
2020 25th International Conference on Pattern Recognition (ICPR), 5302-5309, 2021
32021
Recognizing injured faces via SCIFI loss
P Majumdar, S Chhabra, R Singh, M Vatsa
IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (1), 112-123, 2020
32020
Subclass contrastive loss for injured face recognition
P Majumdar, S Chhabra, R Singh, M Vatsa
2019 IEEE 10th International Conference on Biometrics Theory, Applications …, 2019
32019
Detecting data leakage from hard copy documents
J Nayak, S Singh, S Chhabra, G Gupta, M Gupta, G Gupta
IFIP International Conference on Digital Forensics, 111-124, 2018
32018
Mannet: A Large-Scale Manipulated Image Detection Dataset And Baseline Evaluations
A Singh, S Chhabra, P Majumdar, R Singh, M Vatsa
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
Class Equilibrium using Coulomb's Law
S Chhabra, P Majumdar, M Vatsa, R Singh
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
2021
SECURITY AND PRIVACY ISSUES RELATED TO QUICK RESPONSE CODES
P Garg, S Chhabra, G Gupta, G Gupta, M Gupta
IFIP International Conference on Digital Forensics, 255-267, 2021
2021
INDIAN CURRENCY DATABASE FOR FORENSIC RESEARCH
S Chhabra, G Gupta, G Gupta, M Gupta
IFIP International Conference on Digital Forensics, 237-253, 2021
2021
Target identity attacks on facial recognition systems
S Chhabra, N Banati, G Gupta, G Gupta
IFIP International Conference on Digital Forensics, 233-252, 2020
2020
Quick Response Encoding of Human Facial Images for Identity Fraud Detection
S Singh, S Chhabra, G Gupta, M Gupta, G Gupta
IFIP International Conference on Digital Forensics, 185-199, 2019
2019
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