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ORCIDAnubhav Jain 0002
Person information
- affiliation: New York University, Brooklyn, NY, USA
- affiliation (former): Idiap Research Institute, Switzerland
- affiliation (former): IIIT-Delhi, India
Other persons with the same name
- Anubhav Jain 0001
![[0000-0001-5893-9967]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5893-9967")
— Lawrence Berkeley National Laboratory, Berkeley, CA, USA - Anubhav Jain 0003 — National Institute of Technology Karnataka, Surathkal, India
- Anubhav Jain 0004 — Vestas, Porto, Portugal (and 2 more)
- Anubhav Jain 0005 — Massachusetts Institute of Technology, Cambridge, MA, USA
- Anubhav Jain 0006 — Tata Consultancy Services, TCS Innovation Labs, Pune, Inida
- Anubhav Jain 0007 — University of Delhi, Division of Information Technology NSIT, India
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2020 – today
- 2024
[c8]Sudipta Banerjee, Anubhav Jain, Zehua Jiang, Nasir D. Memon, Julian Togelius, Arun Ross:
Alpha-Wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems. WACV (Workshops) 2024: 1072-1081- [i7]Sudipta Banerjee, Anubhav Jain, Zehua Jiang, Nasir D. Memon, Julian Togelius, Arun Ross:
Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems. CoRR abs/2403.12047 (2024) - 2023
- [j1]Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon:
Dictionary Attacks on Speaker Verification. IEEE Trans. Inf. Forensics Secur. 18: 773-788 (2023) - [c7]Anubhav Jain, Nasir D. Memon, Julian Togelius:
Zero-Shot Racially Balanced Dataset Generation using an Existing Biased StyleGAN2. IJCB 2023: 1-18 - [i6]Anubhav Jain, Nasir D. Memon, Julian Togelius:
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2. CoRR abs/2305.07710 (2023) - [i5]Anubhav Jain, Nasir D. Memon, Julian Togelius:
Fair GANs through model rebalancing with synthetic data. CoRR abs/2308.08638 (2023) - 2022
- [c6]Pavel Korshunov, Anubhav Jain, Sébastien Marcel:
Custom Attribution Loss for Improving Generalization and Interpretability of Deepfake Detection. ICASSP 2022: 8972-8976 - [c5]Anubhav Jain, Nasir D. Memon, Julian Togelius:
A Dataless FaceSwap Detection Approach Using Synthetic Images. IJCB 2022: 1-7 - [i4]Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon:
Dictionary Attacks on Speaker Verification. CoRR abs/2204.11304 (2022) - [i3]Anubhav Jain, Nasir D. Memon, Julian Togelius:
A Dataless FaceSwap Detection Approach Using Synthetic Images. CoRR abs/2212.02571 (2022) - 2021
- [c4]Anubhav Jain, Pavel Korshunov, Sébastien Marcel:
Improving Generalization of Deepfake Detection by Training for Attribution. MMSP 2021: 1-6 - 2020
- [c3]Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa:
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN. CVPR Workshops 2020: 2870-2879 - [c2]Avdesh Kumar, Saumya Balodi, Anubhav Jain, Pravesh Biyani:
Benchmark Dataset for Timetable optimization of Bus Routes in the City of New Delhi. ITSC 2020: 1-6
2010 – 2019
- 2019
- [i2]Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. CoRR abs/1901.09237 (2019) - [i1]Anubhav Jain, Avdesh Kumar, Saumya Balodi, Pravesh Biyani:
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi. CoRR abs/1910.08903 (2019) - 2018
- [c1]Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. BTAS 2018: 1-7
Coauthor Index
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