Research Interest
My research focuses on modifying knowledge in large generative models,
with an emphasis on both concept erasure for safety and personalization for adaptability.
My goal is to ensure that generative models can be responsibly modified and personalized
to support trustworthy use in diverse real-world settings.
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News
- [April 2025] - STEREO accepted as a
Highlight
at CVPR 2025.
- [February 2025] - One paper accepted to CVPR 2025.
- [August 2024] - Awarded the JHU-ECE department fellowship for the 2024-2025 academic year.
- [August 2024] - Joined the Johns Hopkins University as a PHD Student
- [July 2023] - One paper accepted to ICCV 2023.
- [July 2023] - One paper was accepted as an ORAL presentation to IJCB 2023.
- [Feb 2023] - One paper accepted to CVPR 2023.
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Research
Representative papers are highlighted.
* denotes joint first authors
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STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models
Koushik Srivatsan,
Fahad Shamshad,
Muzammal Naseer,
Vishal M Patel,
Karthik Nandakumar
CVPR, 2025
⭐ Highlight (Top 3% of submissions)
[Code]
[Paper]
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FLIP: Cross-domain Face Anti-spoofing with Language Guidance
Koushik Srivatsan,
Muzammal Naseer,
Karthik Nandakumar
ICCV, 2023
[Project]
[Code]
[Paper]
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FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Naif Alkhunaizi*,
Koushik Srivatsan*,
Faris Almalik*,
Ibrahim Almakky,
Karthik Nandakumar
IJCB, 2023   (Oral Presentation)
[Code]
[Paper]
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Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad,
Koushik Srivatsan,
Karthik Nandakumar
CVPR, 2023
[Project]
[Code]
[video]
[Paper]
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Academic Services
- [September 2024] - Serving as a reviewer for TMLR
- [June 2024] - Serving as a reviewer for NeurIPS 2024
- [April 2024] - Serving as a reviewer for ECCV 2024
- [Feb 2024] - Serving as a reviewer for TPAMI
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