Akshay Agarwal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Detection Algorithm

Attack Detection

Top Venues

Publications

Akshay Agarwal, Nalini K. Ratha
Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm. FG (2024)
Priyanshu Kumar Rai, Pratik Pal, Akshay Agarwal
A Generalized Semiconductor Wafer Defect Classifier. Tiny Papers @ ICLR (2024)
Hruturaj Dhake, Akshay Agarwal
On the Robustness of Drug Abuse Face Classification. Tiny Papers @ ICLR (2024)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Corruption depth: Analysis of DNN depth for misclassification. Neural Networks 172 (2024)
Anumanchi Agastya Sai Ram Likhit, Divyansh Tripathi, Akshay Agarwal
A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. Tiny Papers @ ICLR (2024)
Anumanchi Agastya Sai Ram Likhit, Divyansh Tripathi, Akshay Agarwal
A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. CoRR (2024)
Kirtilekha Bhesra, Shivam Ashok Shukla, Akshay Agarwal
Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. Tiny Papers @ ICLR (2024)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
IBAttack: Being Cautious About Data Labels. IEEE Trans. Artif. Intell. 4 (6) (2023)
Udaybhan Rathore, Akshay Agarwal
Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? Tiny Papers @ ICLR (2023)
Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR (2023)
Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh
Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection. IEEE Trans. Biom. Behav. Identity Sci. 5 (1) (2023)
Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. CVPR Workshops (2023)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95 (2023)
Akshay Agarwal, Nalini K. Ratha, Afzel Noore, Richa Singh, Mayank Vatsa
Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions? WACV (2023)
Ojaswee, Akshay Agarwal, Nalini K. Ratha
Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection. ICCV (Workshops) (2023)
Akshay Agarwal, Gaurav Goswami, Mayank Vatsa, Richa Singh, Nalini K. Ratha
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR (2022)
Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh
Generalized Contact Lens Iris Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 4 (3) (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Crafting Adversarial Perturbations via Transformed Image Component Swapping. IEEE Trans. Image Process. 31 (2022)
Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159 (2022)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images. Frontiers Big Data 5 (2022)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Norm Adversaries. ECCV Workshops (1) (2022)
Bhavin Jawade, Akshay Agarwal, Srirangaraj Setlur, Nalini K. Ratha
Multi Loss Fusion For Matching Smartphone Captured Contactless Finger Images. WIFS (2021)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP (2021)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
MagNet: Detecting Digital Presentation Attacks on Face Recognition. Frontiers Artif. Intell. 4 (2021)
Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG (2021)
Akshay Agarwal, Nalini K. Ratha
Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection. CIKM Workshops (2021)
Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI (2021)
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. FG (2021)
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. CoRR (2021)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Cognitive data augmentation for adversarial defense via pixel masking. Pattern Recognit. Lett. 146 (2021)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR (2020)
Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. CoRR (2020)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR (2020)
Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR (2020)
Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters. CVPR Workshops (2020)
Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. AAAI (2020)
Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
MixNet for Generalized Face Presentation Attack Detection. CoRR (2020)
Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) (2020)
Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. CoRR (2020)
Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh
WaveTransform: Crafting Adversarial Examples via Input Decomposition. CoRR (2020)
Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops (2020)
Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Securing CNN Model and Biometric Template using Blockchain. CoRR (2020)
Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
MixNet for Generalized Face Presentation Attack Detection. ICPR (2020)
Akshay Agarwal, Richa Singh, Mayank Vatsa
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops (2020)
Akshay Agarwal, Mayank Vatsa, Richa Singh
CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack. BTAS (2019)
Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
DeepRing: Protecting Deep Neural Network With Blockchain. CVPR Workshops (2019)
Suril Mehta, Anannya Uberoi, Akshay Agarwal, Mayank Vatsa, Richa Singh
Crafting A Panoptic Face Presentation Attack Detector. ICB (2019)
Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Securing CNN Model and Biometric Template using Blockchain. BTAS (2019)
Akshay Agarwal, Akarsha Sehwag, Richa Singh, Mayank Vatsa
Deceiving Face Presentation Attack Detection via Image Transforms. BigMM (2019)
Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa
Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition. Int. J. Comput. Vis. 127 (6-7) (2019)
Akshay Agarwal, Akarsha Sehwag, Mayank Vatsa, Richa Singh
Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms. ICB (2019)
Akshay Agarwal, Rohit Keshari, Manya Wadhwa, Mansi Vijh, Chandani Parmar, Richa Singh, Mayank Vatsa
Iris sensor identification in multi-camera environment. Inf. Fusion 45 (2019)
Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa
Evading Face Recognition via Partial Tampering of Faces. CVPR Workshops (2019)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha
Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect? BTAS (2018)
Daksha Yadav, Naman Kohli, Akshay Agarwal, Mayank Vatsa, Richa Singh, Afzel Noore
Fusion of Handcrafted and Deep Learning Features for Large-Scale Multiple Iris Presentation Attack Detection. CVPR Workshops (2018)
Akhil Goel, Anirudh Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh
SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition. BTAS (2018)
Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks. CoRR (2018)
Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. AAAI (2018)
Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
SWAPPED! Digital face presentation attack detection via weighted local magnitude pattern. IJCB (2017)
Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore
Face Presentation Attack with Latex Masks in Multispectral Videos. CVPR Workshops (2017)
Akshay Agarwal, Richa Singh, Mayank Vatsa
Fingerprint sensor classification via Mélange of handcrafted features. ICPR (2016)
Talha Ahmad Siddiqui, Samarth Bharadwaj, Tejas I. Dhamecha, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha
Face anti-spoofing with multifeature videolet aggregation. ICPR (2016)
Akshay Agarwal, Richa Singh, Mayank Vatsa
Face anti-spoofing using Haralick features. BTAS (2016)
Rohit Keshari, Soumyadeep Ghosh, Akshay Agarwal, Richa Singh, Mayank Vatsa
Mobile periocular matching with pre-post cataract surgery. ICIP (2016)
Anush Sankaran, Akshay Agarwal, Rohit Keshari, Soumyadeep Ghosh, Anjali Sharma, Mayank Vatsa, Richa Singh
Latent fingerprint from multiple surfaces: Database and quality analysis. BTAS (2015)