Exploring Deep Learning Based Approaches for Endoscopic Artefact Detection and Segmentation. - Anand Subramanian 004; Koushik Srivatsan (EndoCV@ISBI, 2020)

DEXTER: An end-to-end system to extract table contents from electronic medical health documents. - Nandhinee PR; Harinath Krishnamoorthy; Koushik Srivatsan; Anil Goyal; Sudarsun Santhiappan (CoRR, 2022)

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. - Fahad Shamshad; Koushik Srivatsan; Karthik Nandakumar (CVPR, 2023)

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)

FLIP: Cross-domain Face Anti-spoofing with Language Guidance. - Koushik Srivatsan; Muzammal Naseer; Karthik Nandakumar (ICCV, 2023)

STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CoRR, 2024)

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)