Anubhav Jain

24 papers A* 1B 4C 1Misc 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization.
CVPR
Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir D. Memon, Julian Togelius, Yuki Mitsufuji
2025 B conf
FaceCloak: Learning to Protect Face Templates.
FG
Sudipta Banerjee, Anubhav Jain, Chinmay Hegde, Nasir D. Memon
2025 J jnl
FaceCloak: Learning to Protect Face Templates.
CoRR
Sudipta Banerjee, Anubhav Jain, Chinmay Hegde, Nasir D. Memon
2025 B conf
Fair GANs through model rebalancing for extremely imbalanced class distributions.
IJCB
Anubhav Jain, Nasir D. Memon, Julian Togelius
2025 J jnl
Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image.
CoRR
Anubhav Jain, Yuya Kobayashi, Naoki Murata, Yuhta Takida, Takashi Shibuya, Yuki Mitsufuji, Niv Cohen, Nasir D. Memon, Julian Togelius
2024 — conf
Alpha-Wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems.
WACV (Workshops)
Sudipta Banerjee, Anubhav Jain, Zehua Jiang, Nasir D. Memon, Julian Togelius, Arun Ross
2024 J jnl
Alpha-wolves and Alpha-mammals: Exploring Dictionary Attacks on Iris Recognition Systems.
CoRR
Sudipta Banerjee, Anubhav Jain, Zehua Jiang, Nasir D. Memon, Julian Togelius, Arun Ross
2024 J jnl
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization.
CoRR
Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir D. Memon, Julian Togelius, Yuki Mitsufuji
2024 J jnl
TraSCE: Trajectory Steering for Concept Erasure.
CoRR
Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir D. Memon, Julian Togelius, Yuki Mitsufuji
2024 J jnl
Zero-Shot Demographically Unbiased Image Generation From an Existing Biased StyleGAN.
IEEE Trans. Biom. Behav. Identity Sci.
Anubhav Jain, Rishit Dholakia, Nasir D. Memon, Julian Togelius
2023 J jnl
Dictionary Attacks on Speaker Verification.
IEEE Trans. Inf. Forensics Secur.
Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon
2023 J jnl
Fair GANs through model rebalancing with synthetic data.
CoRR
Anubhav Jain, Nasir D. Memon, Julian Togelius
2023 B conf
Zero-Shot Racially Balanced Dataset Generation using an Existing Biased StyleGAN2.
IJCB
Anubhav Jain, Nasir D. Memon, Julian Togelius
2023 J jnl
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2.
CoRR
Anubhav Jain, Nasir D. Memon, Julian Togelius
2022 B conf
A Dataless FaceSwap Detection Approach Using Synthetic Images.
IJCB
Anubhav Jain, Nasir D. Memon, Julian Togelius
2022 J jnl
A Dataless FaceSwap Detection Approach Using Synthetic Images.
CoRR
Anubhav Jain, Nasir D. Memon, Julian Togelius
2022 Misc conf
Custom Attribution Loss for Improving Generalization and Interpretability of Deepfake Detection.
ICASSP
Pavel Korshunov, Anubhav Jain, Sébastien Marcel
2022 J jnl
Dictionary Attacks on Speaker Verification.
CoRR
Mirko Marras, Pawel Korus, Anubhav Jain, Nasir D. Memon
2021 C conf
Improving Generalization of Deepfake Detection by Training for Attribution.
MMSP
Anubhav Jain, Pavel Korshunov, Sébastien Marcel
2020 — conf
Benchmark Dataset for Timetable optimization of Bus Routes in the City of New Delhi.
ITSC
Avdesh Kumar, Saumya Balodi, Anubhav Jain, Pravesh Biyani
2020 — conf
Detecting GANs and Retouching based Digital Alterations via DAD-HCNN.
CVPR Workshops
Anubhav Jain, Puspita Majumdar, Richa Singh, Mayank Vatsa
2019 J jnl
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi.
CoRR
Anubhav Jain, Avdesh Kumar, Saumya Balodi, Pravesh Biyani
2019 J jnl
On Detecting GANs and Retouching based Synthetic Alterations.
CoRR
Anubhav Jain, Richa Singh, Mayank Vatsa
2018 — conf
On Detecting GANs and Retouching based Synthetic Alterations.
BTAS
Anubhav Jain, Richa Singh, Mayank Vatsa