Agarwal, Akshay

23 publications

CVPR 2025 A Unified, Resilient, and Explainable Adversarial Patch Detector Vishesh Kumar, Akshay Agarwal

CVPRW 2025 Advancing Facial Age Progression for Occluded Faces Ankit Birla, Akshay Agarwal

CVPR 2025 Image Reconstruction from Readout-Multiplexed Single-Photon Detector Arrays Shashwath Bharadwaj, Ruangrawee Kitichotkul, Akshay Agarwal, Vivek K Goyal

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

CVPRW 2024 Deepfake Catcher: Can a Simple Fusion Be Effective and Outperform Complex DNNs? Akshay Agarwal, Nalini K. Ratha

CVPRW 2024 Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images Hruturaj Dhake, Akshay Agarwal

ICCVW 2023 Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection Ojaswee, Akshay Agarwal, Nalini K. Ratha

WACV 2023 Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions? Akshay Agarwal, Nalini Ratha, Afzel Noore, Richa Singh, Mayank Vatsa

CVPRW 2023 Robustness Against Gradient Based Attacks Through Cost Effective Network Fine-Tuning Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa

ECCVW 2022 Benchmarking Robustness Beyond Lp Norm Adversaries Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh

CVPRW 2022 Exploring Robustness Connection Between Artificial and Natural Adversarial Examples Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh

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

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

CVPRW 2020 DNDNet: Reconfiguring CNN for Adversarial Robustness Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha

CVPRW 2020 Noise Is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha

AAAI 2020 On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa

CVPRW 2020 The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN Akshay Agarwal, Richa Singh, Mayank Vatsa

ECCVW 2020 WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh

CVPRW 2019 DeepRing: Protecting Deep Neural Network with Blockchain Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha

CVPRW 2019 Evading Face Recognition via Partial Tampering of Faces Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa

CVPRW 2018 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

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

CVPRW 2017 Face Presentation Attack with LaTeX Masks in Multispectral Videos Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore