most citedAttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection

13 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Bionetta: Efficient Client-Side Zero-Knowledge Machine Learning Proving

Dmytro Zakharov, Oleksandr Kurbatov, Artem Sdobnov +10

In this report, we compare the performance of our UltraGroth-based zero-knowledge machine learning framework Bionetta to other tools of similar purpose such as EZKL, Lagrange's dee…

cs.CV202413 cited

AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection

Oleksandr Kuznetsov, Dmytro Zakharov, Emanuele Frontoni +1

Biometric security is the cornerstone of modern identity verification and authentication systems, where the integrity and reliability of biometric samples is of paramount importanc…

cs.CV2024

Embedding Non-Distortive Cancelable Face Template Generation

Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni +1

Biometric authentication systems are crucial for security, but developing them involves various complexities, including privacy, security, and achieving high accuracy without direc…

cs.CV20241 cited

Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis

Oleksandr Kuznetsov, Dmytro Zakharov, Emanuele Frontoni +2

In an era where biometric security serves as a keystone of modern identity verification systems, ensuring the authenticity of these biometric samples is paramount. Liveness detecti…

cs.CV2024

Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings

Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni

Biometric authentication systems play a crucial role in modern security systems. However, maintaining the balance of privacy and integrity of stored biometrics derivative data whil…