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20242026
most citedAttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection

13 citations · 17 across the 8 of their papers we have counts for

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cs.CV2026

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs

Stefano Mereu, Oleksandr Kuznetsov, Gabriele Marchello +4

Convolutional Kolmogorov--Arnold Networks (KANs) replace the fixed weights of a convolutional kernel with learnable univariate functions. The dominant formulation attaches one such…

cs.CV2025

Deep Learning Models for Robust Facial Liveness Detection

Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo +3

In the rapidly evolving landscape of digital security, biometric authentication systems, particularly facial recognition, have emerged as integral components of various security pr…

cs.CV2024★ 13 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★ 1 cited

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.CV2024★ 1 cited

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…