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ORCIDAkshay Agarwal 0001
Person information
- affiliation: IISER Bhopal, India
- affiliation (PhD 2020): IIIT Delhi, India
Other persons with the same name
- Akshay Agarwal 0002 — IBM Almaden Research Center, San Jose, CA, USA
- Akshay Agarwal 0003
![[0000-0002-5944-3346]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5944-3346")
— Boston University, MA, USA (and 1 more) - Akshay Agarwal 0004 — PES Institute of Technology, Bangalore, India
- Akshay Agarwal 0005 — Manipal Institute of Technology, India
- Akshay Agarwal 0006 — KMK Consulting, Inc.
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Journal Articles
- 2024
[j14]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Corruption depth: Analysis of DNN depth for misclassification. Neural Networks 172: 106013 (2024)- 2023
- [j13]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Parameter agnostic stacked wavelet transformer for detecting singularities. Inf. Fusion 95: 415-425 (2023) - [j12]Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
IBAttack: Being Cautious About Data Labels. IEEE Trans. Artif. Intell. 4(6): 1484-1493 (2023) - [j11]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): 39-52 (2023) - 2022
- [j10]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) - [j9]Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh:
Enhanced iris presentation attack detection via contraction-expansion CNN. Pattern Recognit. Lett. 159: 61-69 (2022) - [j8]Akshay Agarwal, Afzel Noore, Mayank Vatsa, Richa Singh:
Generalized Contact Lens Iris Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 373-385 (2022) - [j7]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Crafting Adversarial Perturbations via Transformed Image Component Swapping. IEEE Trans. Image Process. 31: 7338-7349 (2022) - [j6]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): 3277-3289 (2022) - 2021
- [j5]Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
MagNet: Detecting Digital Presentation Attacks on Face Recognition. Frontiers Artif. Intell. 4 (2021) - [j4]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Cognitive data augmentation for adversarial defense via pixel masking. Pattern Recognit. Lett. 146: 244-251 (2021) - [j3]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): 2106-2121 (2021) - 2019
- [j2]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): 719-742 (2019) - [j1]Akshay Agarwal, Rohit Keshari, Manya Wadhwa, Mansi Vijh, Chandani Parmar, Richa Singh, Mayank Vatsa:
Iris sensor identification in multi-camera environment. Inf. Fusion 45: 333-345 (2019)
Conference and Workshop Papers
- 2024
- [c50]Akshay Agarwal, Nalini K. Ratha:
Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs? CVPR Workshops 2024: 3791-3801 - [c49]Hruturaj Dhake, Akshay Agarwal:
Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images. CVPR Workshops 2024: 4842-4848 - [c48]Akshay Agarwal, Nalini K. Ratha:
Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm. FG 2024: 1-9 - [c47]Kirtilekha Bhesra, Shivam Ashok Shukla, Akshay Agarwal:
Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection. Tiny Papers @ ICLR 2024 - [c46]Hruturaj Dhake, Akshay Agarwal:
On the Robustness of Drug Abuse Face Classification. Tiny Papers @ ICLR 2024 - [c45]Anumanchi Agastya Sai Ram Likhit, Divyansh Tripathi, Akshay Agarwal:
A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. Tiny Papers @ ICLR 2024 - [c44]Priyanshu Kumar Rai, Pratik Pal, Akshay Agarwal:
A Generalized Semiconductor Wafer Defect Classifier. Tiny Papers @ ICLR 2024 - 2023
- [c43]Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning. CVPR Workshops 2023: 28-37 - [c42]Ojaswee, Akshay Agarwal, Nalini K. Ratha:
Benchmarking Image Classifiers for Physical Out-of-Distribution Examples Detection. ICCV (Workshops) 2023: 4429-4437 - [c41]Gaurav Goswami, Akshay Agarwal, Nalini K. Ratha, Richa Singh, Mayank Vatsa:
Federated Learning for Local and Global Data Distribution. Tiny Papers @ ICLR 2023 - [c40]Udaybhan Rathore, Akshay Agarwal:
Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective? Tiny Papers @ ICLR 2023 - [c39]Vishesh Kumar, Akshay Agarwal:
On Unconstrained Ear Recognition For Privacy-Preserving Authentication. WAMWB@MobileHCI 2023: 21-36 - [c38]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: 961-970 - 2022
- [c37]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Exploring Robustness Connection between Artificial and Natural Adversarial Examples. CVPR Workshops 2022: 178-185 - [c36]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Benchmarking Robustness Beyond lp Norm Adversaries. ECCV Workshops (1) 2022: 342-359 - [c35]Vishi Jain, Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Robust IRIS Presentation Attack Detection Through Stochastic Filter Noise. ICPR 2022: 1134-1140 - 2021
- [c34]Akshay Agarwal, Mayank Vatsa, Richa Singh:
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). AAAI 2021: 15745-15746 - [c33]Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Detection of Digital Manipulation in Facial Images (Student Abstract). AAAI 2021: 15845-15846 - [c32]Akshay Agarwal, Nalini K. Ratha:
Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection. CIKM Workshops 2021 - [c31]Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. FG 2021: 1-8 - [c30]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark. FG 2021: 1-5 - [c29]Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Intelligent and Adaptive Mixup Technique for Adversarial Robustness. ICIP 2021: 824-828 - [c28]Akshay Agarwal, Nalini K. Ratha, Mayank Vatsa, Richa Singh:
Impact of Super-Resolution and Human Identification in Drone Surveillance. WIFS 2021: 1-6 - [c27]Bhavin Jawade, Akshay Agarwal, Srirangaraj Setlur, Nalini K. Ratha:
Multi Loss Fusion For Matching Smartphone Captured Contactless Finger Images. WIFS 2021: 1-6 - 2020
- [c26]Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. AAAI 2020: 13583-13589 - [c25]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DNDNet: Reconfiguring CNN for Adversarial Robustness. CVPR Workshops 2020: 103-110 - [c24]Akshay Agarwal, Richa Singh, Mayank Vatsa:
The Role of 'Sign' and 'Direction' of Gradient on the Performance of CNN. CVPR Workshops 2020: 2748-2756 - [c23]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: 3354-3363 - [c22]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. ECCV Workshops (1) 2020: 152-168 - [c21]Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. ICPR 2020: 5302-5309 - [c20]Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. ICPR 2020: 5318-5325 - [c19]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. ICPR 2020: 5511-5518 - 2019
- [c18]Akshay Agarwal, Akarsha Sehwag, Richa Singh, Mayank Vatsa:
Deceiving Face Presentation Attack Detection via Image Transforms. BigMM 2019: 373-382 - [c17]Akshay Agarwal, Mayank Vatsa, Richa Singh:
CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack. BTAS 2019: 1-5 - [c16]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. BTAS 2019: 1-7 - [c15]Puspita Majumdar, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Evading Face Recognition via Partial Tampering of Faces. CVPR Workshops 2019: 11-20 - [c14]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DeepRing: Protecting Deep Neural Network With Blockchain. CVPR Workshops 2019: 2821-2828 - [c13]Akshay Agarwal, Akarsha Sehwag, Mayank Vatsa, Richa Singh:
Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms. ICB 2019: 1-6 - [c12]Suril Mehta, Anannya Uberoi, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Crafting A Panoptic Face Presentation Attack Detector. ICB 2019: 1-6 - 2018
- [c11]Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks. AAAI 2018: 6829-6836 - [c10]Akshay Agarwal, Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect? BTAS 2018: 1-7 - [c9]Akhil Goel, Anirudh Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition. BTAS 2018: 1-7 - [c8]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: 572-579 - 2017
- [c7]Akshay Agarwal, Daksha Yadav, Naman Kohli, Richa Singh, Mayank Vatsa, Afzel Noore:
Face Presentation Attack with Latex Masks in Multispectral Videos. CVPR Workshops 2017: 275-283 - [c6]Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
SWAPPED! Digital face presentation attack detection via weighted local magnitude pattern. IJCB 2017: 659-665 - 2016
- [c5]Akshay Agarwal, Richa Singh, Mayank Vatsa:
Face anti-spoofing using Haralick features. BTAS 2016: 1-6 - [c4]Rohit Keshari, Soumyadeep Ghosh, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Mobile periocular matching with pre-post cataract surgery. ICIP 2016: 3116-3120 - [c3]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: 1035-1040 - [c2]Akshay Agarwal, Richa Singh, Mayank Vatsa:
Fingerprint sensor classification via Mélange of handcrafted features. ICPR 2016: 3001-3006 - 2015
- [c1]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: 1-6
Parts in Books or Collections
- 2022
- [p1]Puspita Majumdar, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Facial Retouching and Alteration Detection. Handbook of Digital Face Manipulation and Detection 2022: 367-387
Informal and Other Publications
- 2024
- [i9]Anumanchi Agastya Sai Ram Likhit, Divyansh Tripathi, Akshay Agarwal:
A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification. CoRR abs/2404.01049 (2024) - 2021
- [i8]Aayushi Agarwal, Akshay Agarwal, Sayan Sinha, Mayank Vatsa, Richa Singh:
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection. CoRR abs/2109.07311 (2021) - 2020
- [i7]Richa Singh, Akshay Agarwal, Maneet Singh, Shruti Nagpal, Mayank Vatsa:
On the Robustness of Face Recognition Algorithms Against Attacks and Bias. CoRR abs/2002.02942 (2020) - [i6]Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Securing CNN Model and Biometric Template using Blockchain. CoRR abs/2008.00054 (2020) - [i5]Mehak Gupta, Vishal Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings. CoRR abs/2010.13244 (2020) - [i4]Nilay Sanghvi, Sushant Kumar Singh, Akshay Agarwal, Mayank Vatsa, Richa Singh:
MixNet for Generalized Face Presentation Attack Detection. CoRR abs/2010.13246 (2020) - [i3]Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound. CoRR abs/2010.13247 (2020) - [i2]Divyam Anshumaan, Akshay Agarwal, Mayank Vatsa, Richa Singh:
WaveTransform: Crafting Adversarial Examples via Input Decomposition. CoRR abs/2010.15773 (2020) - 2018
- [i1]Gaurav Goswami, Nalini K. Ratha, Akshay Agarwal, Richa Singh, Mayank Vatsa:
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks. CoRR abs/1803.00401 (2018)
Coauthor Index
[j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c43] [c41] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
[j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c43] [c41] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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