13 citations · 19 across the 11 of their papers we have counts for
11 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…
DELICATE: Diachronic Entity LInking using Classes And Temporal Evidence
Cristian Santini, Sebastian Barzaghi, Paolo Sernani +2
In spite of the remarkable advancements in the field of Natural Language Processing, the task of Entity Linking (EL) remains challenging in the field of humanities due to complex d…
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…
Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone
Cristian Santini, Laura Melosi, Emanuele Frontoni
The increased digitization of world's textual heritage poses significant challenges for both computer science and literary studies. Overall, there is an urgent need of computationa…
Efficient Zero-Knowledge Proofs for Set Membership in Blockchain-Based Sensor Networks: A Novel OR-Aggregation Approach
Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano +1
Blockchain-based sensor networks offer promising solutions for secure and transparent data management in IoT ecosystems. However, efficient set membership proofs remain a critical…
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…
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…
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…