Koushik Srivatsan

I am a researcher in computer vision, affliated with the SPriNT-AI Lab at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). I am 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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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

  • [April 2024] - Serving as a reviewer for ECCV 2024
  • [Feb 2024] - Serving as a reviewer for TPAMI

Publications

* denotes joint first authors
FLIP-diag FLIP: Cross-domain Face Anti-spoofing with Language Guidance
Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
ICCV, 2023
project page / code / arXiv
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 / arXiv

Face attribute attack Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
CVPR, 2023
project page / code / video / arXiv


Source code from Jon Barron's website.