Publications

Journal*:  

1. A. Agarwal, N. Ratha, Detection of Identity Swapping Attacks in Low-Resolution Image Settings, In Journal of Information Security and Applications, 2024. (Impact Factor: 3.8) (h5-index: 65)

2. R. Uikey, H. R. Lone, A. Agarwal, Indian Traffic Sign Detection and Classification Through a Unified Framework, In IEEE Transactions on Intelligent Transportation Systems, 2024, vol. 25, no. 10, pp. 14866-14875, (DOI: 10.1109/TITS.2024.3411117) (Impact Factor: 7.9) (h5-index: 143)

3. A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Corruption Depth: Analysis of DNN depth for Misclassification, In Neural Networks, 2024, vol. 172, pp. 106013. (Impact Factor: 6.0) (h5-index: 95) (SSRN Link)

4. A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Parameter Agnostic Stacked Wavelet Transformer for Detecting Singularities, In Information Fusion, vol. 95, pp. 415-425, 2023. (Impact Factor: 14.7) (h5-index: 134) (SSRN Link)

5. A. Agarwal, R. Singh, M. Vatsa, N. Ratha, IBAttack: Being Cautious about Data Labels, IEEE Transactions on Artificial Intelligence (IEEE T-AI), vol. 4, no. 6, pp. 1484-1493, 2023. (DOI: 10.1109/TAI.2022.3206259). (h5-index: 39) (Cite Score: 7.7)

6. A. Agarwal, N. Ratha, M. Vatsa, R. Singh, Crafting Adversarial Perturbations via Transformed Image Component Swapping, IEEE Transactions on Image Processing (IEEE T-IP), vol. 31, pp. 7338-7349, 2022. (DOI: 10.1109/TIP.2022.3204206) (Impact Factor: 10.8) (h5-index: 150)

7. A. Mehra, A. Agarwal, M. Vatsa, and R. Singh, Motion Magnified 3D Residual-in-Dense Network for DeepFake Detection, IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE T-BIOM), 2023, vol. 5, pp. 39-52. (DOI: 10.1109/TBIOM.2022.3201887) (h5-index: 37) (Cite Score: 10.9)

8. A. Agarwal, A. Noore, M. Vatsa, R. Singh, Generalized Contact Lens Iris Presentation Attack Detection, IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE T-BIOM), 2022, vol. 4, pp. 373-385. (DOI: 10.1109/TBIOM.2022.3177669). (h5-index: 37) (Cite Score: 10.9)

9. A. Agarwal, R. Singh, M. Vatsa, A. Noore, Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images, Frontiers in Big Data, section Cybersecurity and Privacy, vol. 5, 2022. (DOI: 10.3389/fdata.2022.836749) (Impact Factor: 2.4) (h5-index: 39)

10. A. Agarwal, A. Noore, M. Vatsa, R. Singh, Enhanced Iris Presentation Attack Detection via Contraction-Expansion CNN, Pattern Recognition Letters (PRL), 2022, (DOI: https://doi.org/10.1016/j.patrec.2022.04.007). (Impact Factor: 3.9) (h5-index: 87)

11. A. Agarwal, R. Singh, M. Vatsa, A. Noore, MagNet: Detecting Digital Presentation Attacks on Face Recognition, Frontiers in Artificial Intelligence, vol. 4, 2021 (DOI: 10.3389/frai.2021.643424) (Impact Factor: 3.0) (h5-index: 52)

12. A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Cognitive Data Augmentation for Adversarial Defense via Pixel Masking, Pattern Recognition Letters (PRL), 2021, vol. 146, pp. 244-251. (DOI: https://doi.org/10.1016/j.patrec.2021.01.032) (Impact Factor: 3.9) (h5-index: 87)

13. A. Agarwal, G. Goswami, M. Vatsa, R. Singh, and N. Ratha, DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector, In IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), vol. 33, no. 8, pp. 3277-3289, 2022. (DOI: 10.1109/TNNLS.2021.3051529) (Impact Factor: 10.2) (h5-index: 149)

14. A. Agarwal, R. Singh, M. Vatsa, and N. Ratha, Image Transformation based Defense Against Adversarial Perturbation on Deep Learning Models, In IEEE Transactions on Dependable and Secure Computing (IEEE T-DSC), 2021, vol. 18, no. 5, pp. 2106-2121. (DOI: 10.1109/TDSC.2020.3027183) (Impact Factor: 7.0) (h5-index: 70)

15. G. Goswami, A. Agarwal, N. Ratha, R. Singh, and M. Vatsa, Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition, In International Journal of Computer Vision (IJCV), 2019, vol. 127, Issue 6–7, pp. 719–742. (DOI: 10.1007/s11263-019-01160-w) (Impact Factor: 11.6) (h5-index: 97)

16. A. Agarwal, R. Keshari, M. Wadhwa, M. Vijh, C. Parmar, R. Singh, and M. Vatsa, "Iris sensor identification in multi-camera environment", In Information Fusion, 2019, vol. 45, pp. 333-345 (Impact Factor: 14.7) (h5-index: 134)

Journals (SSRN/Not Peer Reviewed):

1. A. Sneh, A. Agarwal, On the Robustness of Iris Presentation Attack Detectors, SSRN, 2024

2. S. Shukla, A. Agarwal, V. Kumar, Robustness Benchmarking of Convolutional and Transformer Architectures for Image Classification, SSRN, 2024

3. V. Kumar, A. Agarwal, The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches, SSRN, 2024

Book Chapter:

1. A. Agarwal and N. Ratha, "Manipulating Faces for Identity Theft via Morphing and Deepfake", Handbook of Statistics: Deep Learning, Elsevier, Volume 48, 2023, pp. 223-241. 

2. P. Majumdar, A. Agarwal, M. Vatsa, and R. Singh, "Facial Retouching and Alteration Detection", Handbook of Digital Face Manipulation and Detection, Springer, 2022, pp. 367-387.

3. A. Agarwal, N. Ratha, "Deep Learning in Computer Vision Progress and Threats", Applications of Artificial Intelligence, Big Data, and Internet of Things (IoT) in Sustainable Development, Taylor & Francis, 2022

Conference:

Top-tier:

1. P. Rai, P. Pal, A. Agarwal, A Generalized Semiconductor Wafer Defect Classifier, ICLR TinyPapers, 2024. (h5-index: 304) (Invite to Present)

2. K. Bhesra, S. Shukla, A. Agarwal, Audio vs. Text: Identify a Powerful Modality for Effective Hate Speech Detection, ICLR TinyPapers, 2024. (h5-index: 304) (Invite to Present)

3. A. Likhit, D. Tripathi, A. Agarwal, A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification, ICLR TinyPapers, 2024. (h5-index: 304)

4. H. Dhake, A. Agarwal, On the Robustness of Drug Abuse Face Classification, ICLR TinyPapers, 2024. (h5-index: 304)

5. G. Goswami, A. Agarwal, N. K. Ratha, R. Singh, M. Vatsa, Federated Learning for Local and Global Data Distribution, ICLR TinyPapers, 2023. (h5-index: 304)

6. U. Rathore, A. Agarwal, Is DFR for Soft Biometrics Prediction in Unconstrained Images Fair and Effective?, ICLR TinyPapers, 2023. (h5-index: 304)

7. A. Agarwal, M. Vatsa, and R. Singh, Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract), In AAAI Conference on Artificial Intelligence, 35(18), 15745-15746, 2021. (h5-index: 220)

8. A. Mehra, A. Agarwal, M. Vatsa, and R. Singh, Detection of Digital Manipulation in Facial Images (Student Abstract), In AAAI Conference on Artificial Intelligence 35(18), 15845-15846, 2021. (h5-index: 220)

9. R. Singh, A. Agarwal, M. Singh, S. Nagpal, and M. Vatsa, On the Robustness of Face Recognition Algorithms Against Attacks and Bias, In AAAI Conference on Artificial Intelligence, pp. 13583–13589, 2020. (arxiv) (AAAI) (h5-index: 220)

10. G. Goswami, N. Ratha, A. Agarwal, R. Singh, and M. Vatsa, "Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks", In AAAI Conference on Artificial Intelligence, 2018, pp. 6829-6836 (arxiv) (h5-index: 220) (ORAL)

Others:

1. A. Kumar, M. RA, A. Agarwal, On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification, IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2. SaiAsrith BEVNM, A. Agarwal, On the Effectiveness of a Hybrid Model for Volatility Prediction, IEEE International Conference on Machine Learning and Applications, 2024

3. K. Bhesra, A. Agarwal, A Multi-Modal Framework to Counter Hate Speeches, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

4. A. Yadav, V. Pareek, A. Agarwal, S. Chaudhury, Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

5. U. Rathore, A. Agarwal, An Unconstrained Dataset for Face Recognition Across Distance, Pose, and Resolution, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

6. A. Agarwal, M. Uzair, Robustness of Classifiers for AI-Generated Text Detectors For Copyright and Privacy Protected Society, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

7. A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Supervised Mixup: Protecting the Likely Classes for Adversarial Robustness, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

8. A. Agarwal, M. Vatsa, R. Singh, N. Ratha, Restoring Noisy Images using Dual-tail Encoder-Decoder Signal Separation Network, IEEE/IAPR International Conference on Pattern Recognition (ICPR), 2024

9. H. Dhake, A. Agarwal, Enhancing Drug Abuse Face Recognition: A Study on Image Corruption and Restoration, IEEE International Joint Conference on Biometrics (IJCB), 2024

10. V. Kumar, A. Agarwal, Are Object Recognition Models Effective and Unbiased for Biometric Recognition?, IEEE International Joint Conference on Biometrics (IJCB), 2024

11. M. RA, A. Agarwal, Benchmarking In-the-wild Soft Biometric Attribute Identification, IEEE International Joint Conference on Biometrics (IJCB), 2024

12. M. Dosi, U. Rathore, C. Chiranjeev, A. Agarwal, R. Singh, M Vatsa, Is Face Super Resolution Truly Pushing the Boundaries of Face Recognition?, IEEE International Joint Conference on Biometrics (IJCB), 2024

13. A. Agarwal, N. Ratha, Face Morphing Detection in Social Media Content, IEEE International Conference on Image Processing (ICIP), pp. 801-806, 2024 (h5-index: 66)

14. A. Agarwal, N. Ratha, Deepfake Catcher: Can a Simple Fusion be Effective and Outperform Complex DNNs?, CVPR Workshop and Challenge on DeepFake Analysis and Detection (CVPRW), 2024 (h5-index: 115) 

15. H. Dhake, A. Agarwal, Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images, CVPR Workshop and Competition on Affective Behavior Analysis in-the-wild (CVPRW), 2024 (h5-index: 115)

16. A. Agarwal, N. Ratha, Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm, IEEE International  Conference on Automatic Face and Gesture Recognition, 2024, pp. 1-9 (h5-index: 43)

17. S. Kundu, S. Swarnkar, and A. Agarwal, Application of Machine-Learning Based Models for Prediction of Suspended Sediment Load in the Indian Peninsular River Basin, EGU General Assembly, Vienna, Austria, EGU24-1117, https://doi.org/10.5194/egusphere-egu24-1117, 2024

18. R. Sharma, B. Jawade, A. Agarwal, S. Setlur, and N. Ratha, Attention Guided Multi-attribute Architecture For Deepfake Detection, IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1-4, 2023

19. V. Kumar and A. Agarwal, On Unconstrained Ear Recognition For Privacy-Preserving Authentication, Workshop on Advances of Mobile and Wearable Biometrics (WAMWB), in conjunction with ACM International Conference on Mobile Human-Computer Interaction (MobileHCI), 2023.

20. Ojaswee, A. Agarwal, and N. Ratha, Benchmarking Image Classifiers for Out-of-Distribution Adversary Detection, ICCV Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision, 2023, pp. 4427-4435. (h5-index: 80)

21. A. Agarwal, N. Ratha, R. Singh, and M. Vatsa, Robustness Against Gradient based Attacks through Cost Effective Network Fine-Tuning, In IEEE CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (CVPRW), pp. 28-37, 2023 (h5-index: 115)

22. Ojaswee, A. Agarwal, Robustness Benchmarking of Image Classifiers for Physical Adversarial Attack Detection. In IEEE CVPR Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness (CVPRW), 2023 [Extended Abstract] (h5-index: 115)

23. A. Agarwal and N. Ratha, Are You Investing in the Correct Stock? Benchmarking Robustness of Stock  Market Regressors, Workshop on Modelling Uncertainty in the Financial World (MUFin) In Conjunction with AAAI, 2023

24. A. Agarwal, N. Ratha, A. Noore, R. Singh, M. Vatsa, Misclassifications of Contact Lens Iris PAD Algorithms: Is it Gender Bias or Environmental Conditions?, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 961-970, 2023  (h5-index: 109)

25. S. Bagchi, G. Chanda, A. Agarwal, and N. Ratha, On Deep Learning for Dorsal Hand Vein Recognition, IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1-4, 2022

26. A. Agarwal, N. Ratha, M. Vatsa, and R. Singh, Benchmarking Robustness beyond $l_p$ Norm Adversaries, ECCV Workshop on Adversarial Robustness in the Real World (ECCVW), pp. 342-359, 2022.

27. V. Jain, A. Agarwal, R. Singh, M. Vatsa, N. Ratha,  Robust Iris Presentation Attack Detection Through Stochastic Filter Noise, In International Conference on Pattern Recognition (ICPR), pp. 1134-1140, 2022 (h5-index: 56)

28. A. Agarwal, N. Ratha, M. Vatsa, and R. Singh, Exploring Robustness Connection between Artificial and Natural Adversarial Examples, CVPR Workshop on The Art of Robustness: Devil and Angel in Adversarial Machine Learning (CVPRW), pp. 179-186, 2022. (h5-index: 115)

29. A. Agarwal, N. Ratha, M. Vatsa, and R. Singh, When Sketch Face Recognition Meets Mask Obfuscation: Database and Benchmark, IEEE International  Conference on Automatic Face and Gesture Recognition, 2021, pp. 1-5. (h5-index: 43)

30. A. Agarwal, N. Ratha, Mayank Vatsa, and R. Singh, Impact of Super-Resolution and Human Detection in Drone Surveillance, IEEE International Workshop on Information Forensics and Security, 2021, pp. 1-6. (h5-index: 21)

31. B. Jawade, A. Agarwal, N. Ratha, and S. Setlur, Multi Loss Fusion For Matching Smartphone Captured Contactless Finger Images, IEEE International Workshop on Information Forensics and Security, 2021, pp. 1-6. (h5-index: 21)

32. A. Agarwal and N. Ratha, Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection, International Conference on Information and Knowledge Management (CIKM) Workshop on Modelling Uncertainty in the Financial World, 2021

33. A. Agarwal, A. Agarwal, S. Sinha, M. Vatsa, R. Singh, MD-CSDNetwork: Multi-Domain  Cross  Stitched  Network for Deepfake Detection, IEEE International  Conference on Automatic Face and Gesture Recognition, 2021 pp. 1-8. (arxiv) (h5-index: 43)

34. A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Intelligent and Adaptive Mixup Technique for Adversarial Robustness, IEEE International Conference on Image Processing (ICIP), 2021, pp. 824-828 (h5-index: 66)

35. S. Chhabra, A. Agarwal, R. Singh, M. Vatsa, Attack Agnostic Adversarial Defense via Visual Imperceptible Bound, In International Conference on Pattern Recognition (ICPR), 2020, pp. 5302-5309, (h5-index: 56) (arxiv)

36. N. Sanghvi, S. K. Singh, A. Agarwal, M. Vatsa, R. Singh, MixNet for Generalized Face Presentation Attack Detection, In International Conference on Pattern Recognition (ICPR), 2020, pp. 5511-5518, (h5-index: 56) (arxiv)

37. D. Anshumaan, A. Agarwal, M. Vatsa, and R. Singh,  WaveTransform: Crafting Adversarial Examples via Input Decomposition,  ECCV Workshop on Adversarial Robustness in the Real World, 2020, pp. 152-168, (arxiv)

38. M. Gupta, V. Singh, A. Agarwal, M. Vatsa, and R. Singh, Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings, In International Conference on Pattern Recognition (ICPR), 2020, pp. 5318-5325, (h5-index: 56) (arxiv)

39. A. Agarwal, M. Vatsa, and R. Singh, The role of sign and direction of gradient on the performance of CNN, In IEEE CVPR Workshop on media forensics (CVPRW), pp. 2748-2754, 2020. (h5-index: 115)

40. A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters, In IEEE CVPR Workshop on adversarial machine learning in computer vision (CVPRW), pp. 3354-3363, 2020. (h5-index: 115)

41. A. Goel, A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, DNDNet: Reconfiguring CNN for Adversarial Robustness, In IEEE CVPR Workshop on fair, data efficient and trusted computer vision (CVPRW), 2020, pp. 103-110. (h5-index: 115)

42. A. Agarwal, M. Vatsa, and R. Singh, CHIF: Convoluted Histogram Image Features for Detecting Silicone Mask based Face Presentation Attack, In IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), pp. 1-5, 2019 (h5-index: 32)

43. A. Agarwal, A. Sehwag, M. Vatsa, and R. Singh, Deceiving Face Presentation Attack Detection via Image Transforms, In IEEE International Conference on Multimedia Big Data (BigMM), pp. 373-382, 2019

44. A. Goel, A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, Securing CNN Model and Biometric Template using Blockchain, In IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2019, pp. 1-7. (h5-index: 32)

45. A. Goel, A. Agarwal, R. Singh, M. Vatsa, and N. Ratha, DeepRing: Protecting Deep Neural Network with Blockchain, CVPR Workshop on When Blockchain Meets Computer Vision and Artificial Intelligence (CVPRW), 2019, pp. 2821-2828. (h5-index: 115)

46. P. Majumdar, A. Agarwal, R. Singh, and M. Vatsa, Evading Face Recognition via Partial Tampering of Faces, CVPR Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CVPRW), pp. 11-20, 2019. (h5-index: 115)

47. S. Mehta, A. Uberoi, A. Agarwal, M. Vatsa, and R. Singh, Crafting A Panoptic Face Presentation Attack Detector, In IAPR International Conference on Biometrics (ICB), pp. 1-6, 2019. (h5-index: 30)

48. A. Agarwal, A. Sehwag, M. Vatsa, and R. Singh, Deceiving the Protector: Fooling Face Presentation Attack Detection Algorithms, In IEEE/IAPR International Conference on Biometrics (ICB), pp. 1-6, 2019. (h5-index: 30)

49. A. Agarwal, M. Vatsa, R. Singh, N. Ratha, "Are Image-Agnostic Universal Adversarial Perturbations for Face Recognition Difficult to Detect?", In IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018, pp. 1-7.  (h5-index: 32)

50. A. Goel, A. Singh, A. Agarwal, M. Vatsa, R. Singh, "SmartBox: Benchmarking Adversarial Detection and Mitigation Algorithms with Application to Face Recognition", In IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018, pp. 1-7.  (h5-index: 32)

51. D. Yadav, N. Kohli, A. Agarwal, M. Vatsa, R. Singh, and A. Noore, "Fusion of Handcrafted and Deep Learning Features for Large-scale Multiple Iris Presentation Attack Detection", In International Conference on Computer Vision and Pattern Recognition - Workshop on Biometrics (CVPRW), 2018, pp. 572-579. (h5-index: 115)

52. A. Agarwal, R. Singh, M. Vatsa, and A. Noore, "SWAPPED! Digital Face Presentation Attack Detection via Weighted Local Magnitude Pattern", In IEEE International Joint Conference on Biometrics (IJCB), 2017, pp. 659-665. (h5-index: 27)

53. A. Agarwal, D. Yadav, N. Kohli, R. Singh, M. Vatsa, and A. Noore, "Face Presentation Attack with Latex Masks in Multispectral Videos", In IEEE Computer Vision and Pattern Recognition Workshops (CVPRW) on Perception Beyond the Visible Spectrum 2017, pp. 275-283. (h5-index: 115)

54. T. A. Siddiqui, S. Bharadwaj, T. I. Dhamecha, A. Agarwal, M. Vatsa, R. Singh, and N. Ratha, "Face anti-spoofing with multifeature videolet aggregation", In IEEE International Conference on Pattern Recognition (ICPR), 2016, pp. 1035-1040. (h5-index: 56)

55. A. Agarwal, R. Singh and M. Vatsa, "Fingerprint sensor classification via Mélange of handcrafted features", In 23rd International Conference on Pattern Recognition (ICPR), Cancun, 2016, pp. 3001-3006. (h5-index: 56)

56. R. Keshari, S. Ghosh, A. Agarwal, R. Singh, and M. Vatsa, "Mobile periocular matching with pre-post cataract surgery", In IEEE International Conference on Image Processing (ICIP), 2016, pp 3116-3120.  (h5-index: 66)

57. A. Agarwal, R. Singh, and M. Vatsa, "Face anti-spoofing using Haralick features", In IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016, pp. 1-6. (h5-index: 32)

58. A. Sankaran, A. Agarwal, R. Keshari, S. Ghosh, A. Sharma, M. Vatsa, and R. Singh, "Latent fingerprint from multiple surfaces: Database and quality analysis", In IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015, pp. 1-6. (h5-index: 32)

Certificates: 

International Conference on Pattern Recognition, 2016. Link

*Top Journals in the subcategory (Image Processing and Computer Vision) (http://www.guide2research.com/journals/)