74 citations · 245 across the 30 of their papers we have counts for
32 papers
RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection
Elia Onofri, Roberto Di Pietro
Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges are proprietary frontier models, costly and ill-s…
Consensus and Factual Dynamics in Large Populations of Interacting Language Models
Emanuele Ricco, Elia Onofri, Vincenzo Sammartino +1
Large Language Model (LLM) agents are increasingly deployed as populations of interacting entities, in which consensus --agreement on a shared answer-- emerges as a collective, une…
A Loss-Robust Disturbance Certificate for Minimal-Receiver Quantum Key Distribution
Roberto Di Pietro
Quantum Key Distribution (QKD) enjoys information-theoretic security, yet the most damaging attacks against deployed systems exploit the receiver, where the key bit is encoded in w…
QUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication
Vincenzo Sammartino, Nathanael Denis, Roberto Di Pietro
X-band SAR satellites (8-12 GHz) play a critical role in disaster response, environmental monitoring, and military intelligence. Yet, they lack robust physical-layer authentication…
TENET: Telegram Mini App (in)security
Andrea Ciccotelli, Federico Zappone, Roberto Di Pietro
Telegram, with over 450 million daily active users, has introduced Mini Apps---web-based applications running directly within its client. However, this integration introduces notab…
Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?
Yimeng Chen, Nathanaël Denis, Roberto Di Pietro +1
Self-hosted AI agents maintain persistent memory, instructions, and configuration that influence their future behavior. If an agent is compromised, an attacker can exploit the agen…
I-(OT)^2: A Client-optimal Oblivious Transfer Protocol for IoT Devices
Elia Onofri, Andrea Ciccotelli, Roberto Di Pietro
Oblivious Transfer (OT) is a fundamental cryptographic primitive enabling privacy-preserving computation and constitutes a core building block for secure multi-party computation wh…
FinMoji: A Framework for Emoji-driven Sentiment Analysis in Financial Social Media
Ahmed Mahrous, Roberto Di Pietro
This paper explores the use of emojis in financial sentiment analysis, focusing on the social media platform StockTwits. Emojis, increasingly prevalent in digital communication, ha…
PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram
Ahmed Mahrous, Roberto Di Pietro
Cryptocurrency pump-and-dump schemes coordinated via Telegram threaten market integrity. However, existing research addressing this specific threat has not yet produced solutions t…
A Geometric Analysis of Small-sized Language Model Hallucinations
Emanuele Ricco, Elia Onofri, Lorenzo Cima +2
Hallucinations -- plausible but factually incorrect responses -- pose a major challenge to the reliability of Large Language Models (LLMs), especially in multi-step or agentic sett…
Stablecoins: Fundamentals, Emerging Issues, and Open Challenges
Ahmed Mahrous, Maurantonio Caprolu, Roberto Di Pietro
Stablecoins, with a capitalization exceeding 200 billion USD as of January 2025, have shown significant growth, with annual transaction volumes exceeding 10 trillion dollars in 202…
Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis
Emanuele Ricco, Lorenzo Cima, Roberto Di Pietro
Hallucinations are one of the major issues affecting LLMs, hindering their wide adoption in production systems. While current research solutions for detecting hallucinations are ma…
Characterizing Polkadot's Transactions Ecosystem: methodology, tools, and insights
Maurantonio Caprolu, Roberto Di Pietro, Flavio Lombardi +1
The growth potential of a crypto(currency) project can be measured by the use cases spurred by the underlying technology. However, these projects are usually distributed, with a we…
Inferring Power Grid Information with Power Line Communications: Review and Insights
Javier Hernandez Fernandez, Abdulah Jarouf, Aymen Omri +1
High-frequency signals were widely studied in the last decade to identify grid and channel conditions in power lines. PLMs operating on the grid's physical layer are capable of tra…
Expanding Boundaries: Cross-Media Routing for Seamless Underwater and Aerial Communication
Waqas Aman, Flavio Giorgi, Giulio Attenni +5
The colossal evolution of wireless communication technologies over the past few years has driven increased interest in its integration in a variety of less-explored environments, s…
Adversarial Attacks Neutralization via Data Set Randomization
Mouna Rabhi, Roberto Di Pietro
Adversarial attacks on deep-learning models pose a serious threat to their reliability and security. Existing defense mechanisms are narrow addressing a specific type of attack or…
Characterizing the 2022 Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Preliminary Findings
Maurantonio Caprolu, Alireza Sadighian, Roberto Di Pietro
Online social networks (OSNs) play a crucial role in today's world. On the one hand, they allow free speech, information sharing, and social-movements organization, to cite a few.…
Analysis of Polkadot: Architecture, Internals, and Contradictions
Hanaa Abbas, Maurantonio Caprolu, Roberto Di Pietro
Polkadot is a network protocol launched in 2020 with the ambition of unlocking the full potential of blockchain technologies. Its novel multi-chain protocol allows arbitrary data t…
Sanitization of Multimedia Content: A Survey of Techniques, Attacks, and Future Directions
Andrea Ciccotelli, Hanaa Abbas, Roberto Di Pietro
The exploding rate of data publishing in our networked society has magnified the risk of sensitive information leakage and misuse, pushing the need to secure multimedia content fro…
Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions
Andrea De Salve, Paolo Mori, Laura Ricci +1
In recent years, Decentralized Online Social Networks (DOSNs) have been attracting the attention of many users because they reduce the risk of censorship, surveillance, and informa…
Privacy-Preserving and Sustainable Contact Tracing Using Batteryless Bluetooth Low-Energy Beacons
Pietro Tedeschi, Kang Eun Jeon, James She +3
Contact tracing is the techno-choice of reference to address the COVID-19 pandemic. Many of the current approaches have severe privacy and security issues and fail to offer a susta…
SpreadMeNot: A Provably Secure and Privacy-Preserving Contact Tracing Protocol
Pietro Tedeschi, Spiridon Bakiras, Roberto Di Pietro
A plethora of contact tracing apps have been developed and deployed in several countries around the world in the battle against Covid-19. However, people are rightfully concerned a…
IoTrace: A Flexible, Efficient, and Privacy-Preserving IoT-enabled Architecture for Contact Tracing
Pietro Tedeschi, Spiridon Bakiras, Roberto Di Pietro
Contact tracing promises to help fight the spread of Covid-19 via an early detection of possible contagion events. To this end, most existing solutions share the following architec…
Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection
Maurantonio Caprolu, Simone Raponi, Gabriele Oligeri +1
A new cybersecurity attack,where an adversary illicitly runs crypto-mining software over the devices of unaware users, is emerging in both the literature and in the wild . This att…