| 2026 | AAAI | WingBeats and Snapshots: Fusing Sound and Vision for Mosquito Monitoring (Student Abstract). | Ahana Chanda, Akshay Agarwal |
| 2026 | AAAI | Semantic-Guided Sketch-to-RGB Image Generation via Controlled Diffusion for Improved Sketch Recognition (Student Abstract). | Ritika Jain, Atul Kumar, Akshay Agarwal |
| 2026 | AAAI | Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract). | Vishesh Kumar, Ahana Chanda, Poulomi Bhattacharya, Akshay Agarwal |
| 2026 | AAAI | Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract). | Suchetan G. Uppur, Ashish Kumar, Akshay Agarwal |
| 2026 | AAAI | Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract). | Gargi S. Yeole, Poulomi Bhattacharya, Akshay Agarwal |
| 2025 | CVPR | Image Reconstruction from Readout-Multiplexed Single-Photon Detector Arrays. | Shashwath Bharadwaj, Ruangrawee Kitichotkul, Akshay Agarwal, Vivek K. Goyal |
| 2025 | CVPR | Advancing Facial Age Progression for Occluded Faces. | Ankit Birla, Akshay Agarwal |
| 2025 | CVPR | A Unified, Resilient, and Explainable Adversarial Patch Detector. | Vishesh Kumar, Akshay Agarwal |
| 2025 | ICCV | On Adversarial Robustness of Face Presentation Attack Detection Algorithms. | Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2025 | WACV | On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification. | Manju R. A, Atul Kumar, Akshay Agarwal |
| 2025 | WACV | PrecipFormer: Efficient Transformer for Precipitation Downscaling. | Rohit Kumar, Tanishq Sharma, Vedanshi Vaghela, Sanjeev K. Jha, Akshay Agarwal |
| 2024 | CVPR | Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs? | Akshay Agarwal, Nalini K. Ratha |
| 2024 | CVPR | Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images. | Hruturaj Dhake, Akshay Agarwal |
| 2024 | ICIP | Face Morphing Detection in Social Media Content. | Akshay Agarwal, Nalini K. Ratha |
| 2024 | ICLR | Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. | Kirtilekha Bhesra, Shivam Ashok Shukla, Akshay Agarwal |
| 2024 | ICLR | On the Robustness of Drug Abuse Face Classification. | Hruturaj Dhake, Akshay Agarwal |
| 2024 | ICLR | A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. | Anumanchi Agastya Sai Ram Likhit, Divyansh Tripathi, Akshay Agarwal |
| 2024 | ICLR | A Generalized Semiconductor Wafer Defect Classifier. | Priyanshu Kumar Rai, Pratik Pal, Akshay Agarwal |
| 2024 | ICMLA | On the Effectiveness of a Hybrid Model for Volatility Prediction. | SaiAsrith EVNM Baddepudi, Akshay Agarwal |
| 2024 | ICPR | Robustness of Classifiers for AI-Generated Text Detectors for Copyright and Privacy Protected Society. | Akshay Agarwal, Mohammed Uzair |
| 2024 | ICPR | Restoring Noisy Images Using Dual-Tail Encoder-Decoder Signal Separation Network. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2024 | ICPR | Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2024 | ICPR | A Multi-modal Framework to Counter Hate Speeches. | Kirtilekha Bhesra, Akshay Agarwal |
| 2024 | ICPR | An Unconstrained Dataset for Face Recognition Across Distance, Pose, and Resolution. | Udaybhan Rathore, Akshay Agarwal |
| 2024 | ICPR | Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals. | Archana Yadav, Vishakha Pareek, Akshay Agarwal, Santanu Chaudhury |
| 2023 | CVPR | Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. | Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa |
| 2023 | ICLR | Federated Learning for Local and Global Data Distribution. | Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa |
| 2023 | ICLR | Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? | Udaybhan Rathore, Akshay Agarwal |
| 2023 | WACV | Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? | Akshay Agarwal, Nalini K. Ratha, Afzel Noore, Richa Singh, Mayank Vatsa |
| 2022 | CVPR | Exploring Robustness Connection between Artificial and Natural Adversarial Examples. | Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh |
| 2022 | ECCV | Benchmarking Robustness Beyond l | Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh |
| 2022 | ICPR | Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. | Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha |
| 2021 | AAAI | Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). | Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | AAAI | Detection of Digital Manipulation in Facial Images (Student Abstract). | Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2021 | CIKM | Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection. | Akshay Agarwal, Nalini K. Ratha |
| 2021 | ICIP | Intelligent and Adaptive Mixup Technique for Adversarial Robustness. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2021 | ICIP | Robustness of Time-Resolved Measurement to Unknown and Variable Beam Current in Particle Beam Microscopy. | Luisa Watkins, Sheila W. Seidel, Minxu Peng, Akshay Agarwal, Christopher C. Yu, Vivek K. Goyal |
| 2020 | AAAI | On the Robustness of Face Recognition Algorithms Against Attacks and Bias. | Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa |
| 2020 | CVPR | The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. | Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2020 | CVPR | Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. | Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2020 | CVPR | DNDNet: Reconfiguring CNN for Adversarial Robustness. | Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2020 | ECCV | WaveTransform: Crafting Adversarial Examples via Input Decomposition. | Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | ICPR | Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. | Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2020 | ICPR | Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. | Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | ICPR | MixNet for Generalized Face Presentation Attack Detection. | Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh |
| 2020 | SAC | Survey of public assay data: opportunities and challenges to understanding antimicrobial resistance. | Akshay Agarwal, Gowri Nayar, James H. Kaufman |
| 2019 | CVPR | DeepRing: Protecting Deep Neural Network With Blockchain. | Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |
| 2019 | CVPR | Evading Face Recognition via Partial Tampering of Faces. | Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2018 | AAAI | Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. | Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2018 | CogSci | From Middle School to Graduate School: Combining Conceptual and Simulation Modeling for Making Science Learning Easier. | Akshay Agarwal, Taylor Hartman, Ashok K. Goel |
| 2018 | CVPR | Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. | Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore |
| 2018 | ICDE | Context Analytics: Vision, Architecture, Opportunity. | Eser Kandogan, Mary Roth, Ignacio Terrizzano, Ed Seabolt, Peter M. Schwarz, Harsha Krishnareddy, Akshay Agarwal |
| 2018 | ICDE | Exploiting Functional Context in Biology: Reconsidering Classification of Bacterial Life. | James H. Kaufman, Ed Seabolt, Mark Kunitomi, Akshay Agarwal, Kristen L. Beck, Harsha Krishnareddy, Bart C. Weimer |
| 2017 | CVPR | Face Presentation Attack with Latex Masks in Multispectral Videos. | Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore |
| 2016 | ICIP | Mobile periocular matching with pre-post cataract surgery. | Rohit Keshari, Soumyadeep Ghosh, Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2016 | ICPR | Fingerprint sensor classification via Mlange of handcrafted features. | Akshay Agarwal, Richa Singh, Mayank Vatsa |
| 2016 | ICPR | Face anti-spoofing with multifeature videolet aggregation. | Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha |