Koushik Srivatsan

I am a first year PHD student in the department of Electrical and Computer Engineering at the Johns Hopkins University. I am a member of the VIU Lab advised by Dr. Vishal Patel.

Previously, I was a research assisant affliated with the SPriNT-AI Lab at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Dr.Karthik Nandakumar and Dr.Muzammal Naseer.

I completed my Bachelors in Electronics and Communication Engineering and Master in Signal Processing from Indian Institute of Information Technology. I completed my master's thesis in the Computer Vision Lab at IIT Madras, advised by Dr. Anurag Mittal.

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profile photo

Research Interest

My research interests lie in the intersection of computer vision and AI safety, with a focus on adversarial attacks, face anti-spoofing, and privacy-preserving learning.

News

  • [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.

Research

Representative papers are highlighted.

* denotes joint first authors
STEREO
STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models
Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar
arXiv, 2024 ; Under Review.
[Paper] [Project] [Code]

FLIP-diag FLIP: Cross-domain Face Anti-spoofing with Language Guidance
Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
ICCV, 2023
[Project] [Code] [Paper]
FedSIS-diag 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]

Face attribute attack Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
CVPR, 2023
[Project] [Code] [video] [Paper]

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

Source code from Jon Barron's website.