2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models
Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer +2
The rapid proliferation of large-scale text-to-image diffusion (T2ID) models has raised serious concerns about their potential misuse in generating harmful content. Although numero…
FLIP: Cross-domain Face Anti-spoofing with Language Guidance
Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar
Face anti-spoofing (FAS) or presentation attack detection is an essential component of face recognition systems deployed in security-critical applications. Existing FAS methods hav…
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik +2
Lack of generalization to unseen domains/attacks is the Achilles heel of most face presentation attack detection (FacePAD) algorithms. Existing attempts to enhance the generalizabi…
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
The ability of generative models to produce highly realistic synthetic face images has raised security and ethical concerns. As a first line of defense against such fake faces, dee…