148 citations · 346 across the 14 of their papers we have counts for
15 papers
Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
Lorenzo Capelli, Leandro de Souza Rosa, Gianluca Setti +2
The recent explosive growth in Deep Neural Networks applications raises concerns about the black-box usage of such models, with limited trasparency and trustworthiness in high-stak…
RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off
Andriy Enttsel, Alex Marchioni, Andrea Zanellini +3
Extensive monitoring systems generate data that is usually compressed for network transmission. This compressed data might then be processed in the cloud for tasks such as anomaly…
Goal-Oriented Joint Source-Channel Coding: Distortion-Classification-Power Trade-off
Andriy Enttsel, Weichen Wang, Mauro Mangia +2
Joint source-channel coding is a compelling paradigm when low-latency and low-complexity communication is required. This work proposes a theoretical framework that integrates class…
Legal Summarisation through LLMs: The PRODIGIT Project
Thiago Dal Pont, Federico Galli, Andrea Loreggia +3
We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. We have fo…
Anomaly Detection based on Compressed Data: an Information Theoretic Characterization
Alex Marchioni, Andriy Enttsel, Mauro Mangia +2
We analyze the effect of lossy compression in the processing of sensor signals that must be used to detect anomalous events in the system under observation. The intuitive relations…
On the security of a class of diffusion mechanisms for image encryption
Leo Yu Zhang, Yuansheng Liu, Kwok-Wo Wong +4
The need for fast and strong image cryptosystems motivates researchers to develop new techniques to apply traditional cryptographic primitives in order to exploit the intrinsic fea…