Anubhav Jain

I am a PhD Candidate in the Computer Science Dept at New York University, where I work on computer vision and machine learning. I am supervised by Dr. Nasir Memon and Dr. Julian Togelius.

I completed my undergrad from IIIT-D, where I wrote my undergraduate thesis with Dr. Mayank Vatsa and Dr. Richa Singh on Image Forensics.

Previously, I was research trainee at Idiap Research Institute in Switzerland, supervised by Dr. Sebastien Marcel. I worked on generalizability in deepfake detection during my time there. Prior to that, I was an Artifical Intelligence Engineer at Digital Product School by UnternehmerTUM in Munich, Germany, where I was supervised by Dr. Afsaneh Asaei. I have also worked briefly at Telstra and Pixxel (space tech start-up).

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I am exploring problems in Responsible AI where I am trying to make generative models more secure, fair and privacy preserving using little to no training data. More generally I am interested in Multi-modal generative models and controllable image generation.

Feb 25: [CVPR 2025] Paper on Memorization in Diffusion models got accepted at CVPR 2025!!

Jan 25: I received the Nokia Bell Labs Scholarship.

Dec 24: Paper on Concept Erasure in Diffusion Models in now up on ArXiv.

Nov 24: Paper on Memorization in Diffusion Models in now up on ArXiv.

May 24: Started my internship at Sony AI on Deep Generative Models in the MFMT team. I'll be working on safe image generation from diffusion models.

May 24: Paper on fair image generation from StyleGAN2 accepted at IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM).

Nov 23: Paper accepted at WACV Workshops.

Sept 23: Presented paper at IJCB 2023 in Ljubljana, Slovenia.

June 23: Paper accepted at IJCB 2023. Rated amongst best reviewed papers and got invited to submit extension to TBIOM.

Website source code was borrowed from Jon Barron.