Latent fingerprint from multiple surfaces: Database and quality analysis. - Anush Sankaran; Akshay Agarwal 001; Rohit Keshari; Soumyadeep Ghosh; Anjali Sharma; Mayank Vatsa; Richa Singh 001 (BTAS, 2015)

Face anti-spoofing using Haralick features. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (BTAS, 2016)

Mobile periocular matching with pre-post cataract surgery. - Rohit Keshari; Soumyadeep Ghosh; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (ICIP, 2016)

Fingerprint sensor classification via Mélange of handcrafted features. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (ICPR, 2016)

Face anti-spoofing with multifeature videolet aggregation. - Talha Ahmad Siddiqui; Samarth Bharadwaj; Tejas I. Dhamecha; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (ICPR, 2016)

Face Presentation Attack with Latex Masks in Multispectral Videos. - Akshay Agarwal 001; Daksha Yadav; Naman Kohli; Richa Singh 001; Mayank Vatsa; Afzel Noore (CVPR Workshops, 2017)

SWAPPED! Digital face presentation attack detection via weighted local magnitude pattern. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Afzel Noore (IJCB, 2017)

Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. - Gaurav Goswami; Nalini K. Ratha; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (AAAI, 2018)

Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect? - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Nalini K. Ratha (BTAS, 2018)

SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition. - Akhil Goel; Anirudh Singh; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (BTAS, 2018)

Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. - Daksha Yadav; Naman Kohli; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Afzel Noore (CVPR Workshops, 2018)

Deceiving Face Presentation Attack Detection via Image Transforms. - Akshay Agarwal 001; Akarsha Sehwag; Richa Singh 001; Mayank Vatsa (BigMM, 2019)

CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (BTAS, 2019)

Securing CNN Model and Biometric Template using Blockchain. - Akhil Goel; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (BTAS, 2019)

DeepRing: Protecting Deep Neural Network With Blockchain. - Akhil Goel; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (CVPR Workshops, 2019)

Evading Face Recognition via Partial Tampering of Faces. - Puspita Majumdar; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (CVPR Workshops, 2019)

Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms. - Akshay Agarwal 001; Akarsha Sehwag; Mayank Vatsa; Richa Singh 001 (ICB, 2019)

Crafting A Panoptic Face Presentation Attack Detector. - Suril Mehta; Anannya Uberoi; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (ICB, 2019)

Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition. - Gaurav Goswami; Akshay Agarwal 001; Nalini K. Ratha; Richa Singh 001; Mayank Vatsa (Int. J. Comput. Vis., 2019)

Iris sensor identification in multi-camera environment. - Akshay Agarwal 001; Rohit Keshari; Manya Wadhwa; Mansi Vijh; Chandani Parmar; Richa Singh 001; Mayank Vatsa (Inf. Fusion, 2019)

On the Robustness of Face Recognition Algorithms Against Attacks and Bias. - Richa Singh 001; Akshay Agarwal 001; Maneet Singh; Shruti Nagpal; Mayank Vatsa (AAAI, 2020)

The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (CVPR Workshops, 2020)

Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (CVPR Workshops, 2020)

DNDNet: Reconfiguring CNN for Adversarial Robustness. - Akhil Goel; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (CVPR Workshops, 2020)

WaveTransform: Crafting Adversarial Examples via Input Decomposition. - Divyam Anshumaan; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (ECCV Workshops (1), 2020)

Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. - Saheb Chhabra; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (ICPR, 2020)

Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. - Mehak Gupta; Vishal Singh; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (ICPR, 2020)

MixNet for Generalized Face Presentation Attack Detection. - Nilay Sanghvi; Sushant Kumar Singh; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (ICPR, 2020)

Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (AAAI, 2021)

Detection of Digital Manipulation in Facial Images (Student Abstract). - Aman Mehra; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (AAAI, 2021)

Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection. - Akshay Agarwal 001; Nalini K. Ratha (CIKM Workshops, 2021)

MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. - Aayushi Agarwal 001; Akshay Agarwal 001; Sayan Sinha; Mayank Vatsa; Richa Singh 001 (FG, 2021)

When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. - Akshay Agarwal 001; Nalini K. Ratha; Mayank Vatsa; Richa Singh 001 (FG, 2021)

Intelligent and Adaptive Mixup Technique for Adversarial Robustness. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (ICIP, 2021)

Impact of Super-Resolution and Human Identification in Drone Surveillance. - Akshay Agarwal 001; Nalini K. Ratha; Mayank Vatsa; Richa Singh 001 (WIFS, 2021)

Multi Loss Fusion For Matching Smartphone Captured Contactless Finger Images. - Bhavin Jawade; Akshay Agarwal 001; Srirangaraj Setlur; Nalini K. Ratha (WIFS, 2021)

MagNet: Detecting Digital Presentation Attacks on Face Recognition. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Afzel Noore (Frontiers Artif. Intell., 2021)

Cognitive data augmentation for adversarial defense via pixel masking. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (Pattern Recognit. Lett., 2021)

Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Nalini K. Ratha (IEEE Trans. Dependable Secur. Comput., 2021)

Facial Retouching and Alteration Detection. - Puspita Majumdar; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (Handbook of Digital Face Manipulation and Detection, 2022)

Exploring Robustness Connection between Artificial and Natural Adversarial Examples. - Akshay Agarwal 001; Nalini K. Ratha; Mayank Vatsa; Richa Singh 001 (CVPR Workshops, 2022)

Benchmarking Robustness Beyond lp Norm Adversaries. - Akshay Agarwal 001; Nalini K. Ratha; Mayank Vatsa; Richa Singh 001 (ECCV Workshops (1), 2022)

Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. - Vishi Jain; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Nalini K. Ratha (ICPR, 2022)

Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Afzel Noore (Frontiers Big Data, 2022)

Enhanced iris presentation attack detection via contraction-expansion CNN. - Akshay Agarwal 001; Afzel Noore; Mayank Vatsa; Richa Singh 001 (Pattern Recognit. Lett., 2022)

Generalized Contact Lens Iris Presentation Attack Detection. - Akshay Agarwal 001; Afzel Noore; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Crafting Adversarial Perturbations via Transformed Image Component Swapping. - Akshay Agarwal 001; Nalini K. Ratha; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Image Process., 2022)

DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. - Akshay Agarwal 001; Gaurav Goswami; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (IEEE Trans. Neural Networks Learn. Syst., 2022)

Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. - Akshay Agarwal 001; Nalini K. Ratha; Richa Singh 001; Mayank Vatsa (CVPR Workshops, 2023)

Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection. - Ojaswee; Akshay Agarwal 001; Nalini K. Ratha (ICCV (Workshops), 2023)

Federated Learning for Local and Global Data Distribution. - Gaurav Goswami; Akshay Agarwal 001; Nalini K. Ratha; Richa Singh 001; Mayank Vatsa (Tiny Papers @ ICLR, 2023)

Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? - Udaybhan Rathore; Akshay Agarwal 001 (Tiny Papers @ ICLR, 2023)

On Unconstrained Ear Recognition For Privacy-Preserving Authentication. - Vishesh Kumar; Akshay Agarwal 001 (WAMWB@MobileHCI, 2023)

Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? - Akshay Agarwal 001; Nalini K. Ratha; Afzel Noore; Richa Singh 001; Mayank Vatsa (WACV, 2023)

Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection. - Aman Mehra; Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Parameter agnostic stacked wavelet transformer for detecting singularities. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (Inf. Fusion, 2023)

IBAttack: Being Cautious About Data Labels. - Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa; Nalini K. Ratha (IEEE Trans. Artif. Intell., 2023)

Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs? - Akshay Agarwal 001; Nalini K. Ratha (CVPR Workshops, 2024)

Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images. - Hruturaj Dhake; Akshay Agarwal 001 (CVPR Workshops, 2024)

Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm. - Akshay Agarwal 001; Nalini K. Ratha (FG, 2024)

Benchmarking In-the-wild Soft Biometric Attribute Identification. - Manju R. A; Akshay Agarwal 001 (IJCB, 2024)

Enhancing Drug Abuse Face Recognition: A Study on Image Corruption and Restoration. - Hruturaj Dhake; Akshay Agarwal 001 (IJCB, 2024)

Is Face Super Resolution Truly Pushing the Boundaries of Face Recognition? - Muskan Dosi; Udaybhan Rathore; Chiranjeev Chiranjeev; Akshay Agarwal 001; Richa Singh 001; Mayank Vatsa (IJCB, 2024)

Are Object Recognition Models Effective and Unbiased for Biometric Recognition? - Vishesh Kumar; Akshay Agarwal 001 (IJCB, 2024)

Face Morphing Detection in Social Media Content. - Akshay Agarwal 001; Nalini K. Ratha (ICIP, 2024)

Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. - Kirtilekha Bhesra; Shivam Ashok Shukla; Akshay Agarwal 001 (Tiny Papers @ ICLR, 2024)

On the Robustness of Drug Abuse Face Classification. - Hruturaj Dhake; Akshay Agarwal 001 (Tiny Papers @ ICLR, 2024)

A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. - Anumanchi Agastya Sai Ram Likhit; Divyansh Tripathi; Akshay Agarwal 001 (Tiny Papers @ ICLR, 2024)

A Generalized Semiconductor Wafer Defect Classifier. - Priyanshu Kumar Rai; Pratik Pal; Akshay Agarwal 001 (Tiny Papers @ ICLR, 2024)

On the Effectiveness of a Hybrid Model for Volatility Prediction. - SaiAsrith EVNM Baddepudi; Akshay Agarwal 001 (ICMLA, 2024)

Robustness of Classifiers for AI-Generated Text Detectors for Copyright and Privacy Protected Society. - Akshay Agarwal 001; Mohammed Uzair (ICPR (20), 2024)

Restoring Noisy Images Using Dual-Tail Encoder-Decoder Signal Separation Network. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (ICPR (1), 2024)

Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (ICPR (5), 2024)

A Multi-modal Framework to Counter Hate Speeches. - Kirtilekha Bhesra; Akshay Agarwal 001 (ICPR (31), 2024)

An Unconstrained Dataset for Face Recognition Across Distance, Pose, and Resolution. - Udaybhan Rathore; Akshay Agarwal 001 (ICPR (14), 2024)

Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals. - Archana Yadav; Vishakha Pareek; Akshay Agarwal 001; Santanu Chaudhury (ICPR (7), 2024)

Corruption depth: Analysis of DNN depth for misclassification. - Akshay Agarwal 001; Mayank Vatsa; Richa Singh 001; Nalini K. Ratha (Neural Networks, 2024)

Indian Traffic Sign Detection and Classification Through a Unified Framework. - Rishabh Uikey; Haroon R. Lone; Akshay Agarwal 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Advancing Facial Age Progression for Occluded Faces. - Ankit Birla; Akshay Agarwal 001 (CVPR Workshops, 2025)

A Unified, Resilient, and Explainable Adversarial Patch Detector. - Vishesh Kumar; Akshay Agarwal 001 (CVPR, 2025)

On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification. - Manju R. A; Atul Kumar; Akshay Agarwal 001 (WACV, 2025)

PrecipFormer: Efficient Transformer for Precipitation Downscaling. - Rohit Kumar; Tanishq Sharma; Vedanshi Vaghela; Sanjeev K. Jha; Akshay Agarwal 001 (WACV (Workshops), 2025)

Detection of identity swapping attacks in low-resolution image settings. - Akshay Agarwal 001; Nalini K. Ratha (J. Inf. Secur. Appl., 2025)