13 citations · 17 across the 8 of their papers we have counts for
8 papers
Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems
Oleksandr Kuznetsov, Emanuele Frontoni
A recurring question in the design of scalable multi-agent systems -- from robot swarms to collectives of large-language-model (LLM) agents -- is whether adding more agents can, on…
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…
A Production-Ready Machine Learning System for Inclusive Employment: Requirements Engineering and Implementation of AI-Driven Disability Job Matching Platform
Oleksandr Kuznetsov, Michele Melchiori, Emanuele Frontoni +1
Employment inclusion of people with disabilities remains critically low in Italy, with only 3.5% employed nationally despite mandatory hiring quotas. Traditional manual matching pr…
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…
Evolutionary Approach to S-box Generation: Optimizing Nonlinear Substitutions in Symmetric Ciphers
Oleksandr Kuznetsov, Nikolay Poluyanenko, Emanuele Frontoni +2
This study explores the application of genetic algorithms in generating highly nonlinear substitution boxes (S-boxes) for symmetric key cryptography. We present a novel implementat…
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…
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…
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…