17 citations · 36 across the 6 of their papers we have counts for
8 papers
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
Naser Damer, Kiran Raja, Marius Süßmilch +6
Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like bor…
Face Morphing Attack Generation & Detection: A Comprehensive Survey
Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja +1
The vulnerability of Face Recognition System (FRS) to various kind of attacks (both direct and in-direct attacks) and face morphing attacks has received a great interest from the b…
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN
Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra +3
Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Mor…
Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection
Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra +3
The primary objective of face morphing is to combine face images of different data subjects (e.g. a malicious actor and an accomplice) to generate a face image that can be equally…
On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection
Sushma Venkatesh, Kiran Raja, Raghavendra Ramachandra +1
Face morphing attacks have raised critical concerns as they demonstrate a new vulnerability of Face Recognition Systems (FRS), which are widely deployed in border control applicati…
Morton Filters for Superior Template Protection for Iris Recognition
Kiran B. Raja, R. Raghavendra, Sushma Venkatesh +1
We address the fundamental performance issues of template protection (TP) for iris verification. We base our work on the popular Bloom-Filter templates protection & address the key…