3 citations · 4 across the 10 of their papers we have counts for
12 papers
RobResilience: Implementing and Evaluating a Resilience Framework for Cyber-Physical Embodied Systems
Gysella Imrell, Emanuele Miotto, Mahya Mohammadi Kashani +2
In embodied cyber-physical systems, active cyberattacks pose an immediate threat not just to data, but to physical integrity and human safety. While existing security approaches ex…
Towards Behavior Tree-Guided Vulnerability Detection with Lightweight LLMs
Enna Basic, Alberto Giaretta
Large Language Models (LLMs) are increasingly used for software vulnerability detection, but their performance depends on how source code is represented in the input. Most promptin…
Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective
Marco Antonio Corallo, Andrea Agiollo, Mauro Conti +1
Neuro-Symbolic (NeSy) AI has recently emerged as a novel paradigm to enable trustworthy AI, aiming at integrating sub-symbolic neural perception with grounded symbolic reasoning. T…
A Formal Resilience Framework for Cyber-Physical Embodied Systems under Device-Level Cyberattacks
Alberto Giaretta
In cyber-physical systems (CPSs), fault tolerance is traditionally achieved by analysing sensor and actuator outputs, detecting progressive drift or sudden failures, and initiating…
Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations
Matteo Gioele Collu, Riccardo Conte, Alberto Giaretta +4
In this paper, we investigate whether refusal behavior can be predicted from LLM intermediate activations before decoding using linear probes trained on residual stream activations…
From Chat Control to Robot Control: Implications of the Chat Control Proposal for Human-Robot Interaction
Neziha Akalin, Alberto Giaretta
This paper explores how a recent European Union proposal, the so-called Chat Control, which creates regulatory incentives for providers to implement content detection and communica…
Learning stochasticity: a nonparametric framework for intrinsic noise estimation
Gianluigi Pillonetto, Alberto Giaretta, Mauro Bisiacco
Understanding the principles that govern dynamical systems is a central challenge across many scientific domains, including biology and ecology. Incomplete knowledge of nonlinear i…
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
G. Pillonetto, A. Giaretta, A. Aravkin +2
Data-driven discovery of model equations is a powerful approach for understanding the behavior of dynamical systems in many scientific fields. In particular, the ability to learn m…
From Vulnerabilities to Remediation: A Systematic Literature Review of LLMs in Code Security
Enna Basic, Alberto Giaretta
Large Language Models (LLMs) have emerged as powerful tools for automating programming tasks, including security-related ones. However, they can also introduce vulnerabilities duri…
Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations
Jonatan Bartolini, Todor Stoyanov, Alberto Giaretta
Thanks to the popularisation of transformer-based models, speech recognition (SR) is gaining traction in various application fields, such as industrial and robotics environments po…
Cybersecurity and Embodiment Integrity for Modern Robots: A Conceptual Framework
Alberto Giaretta, Amy Loutfi
Thanks to new technologies and communication paradigms, such as the Internet of Things (IoT) and the Robotic Operating System (ROS), modern robots can be built by combining heterog…
Kernel-based function learning in dynamic and non stationary environments
Alberto Giaretta, Mauro Bisiacco, Gianluigi Pillonetto
One central theme in machine learning is function estimation from sparse and noisy data. An example is supervised learning where the elements of the training set are couples, each…