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From the 1 of 11 linked papers with an AI index.

collaborators

11 papers

cs.AI2026

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation

Marco Alecci, Francesco Marchiori, Iyiola Emmanuel Olatunji +2

The paper evaluates three commercial image‑moderation services built on foundation models and shows that simple, model‑agnostic image transformations (e.g., color inversion, graysc…

cs.NI2026

Toward Agentic SysAdmin: Rethinking System Administration with AI Agents

Gianmaria Frigo, Davide Saladino, Alberto Castagnaro +4

The growing complexity of computer networks, driven by cloud-native architectures, heterogeneous devices, and distributed systems, places increasing pressure on network administrat…

cs.CR2026

QUACK! Making the (Rubber) Ducky Talk: A Systematic Study of Keystroke Dynamics for HID Injection Detection

Alessandro Lotto, Francesco Marchiori, Mauro Conti

Modern computing systems inherently trust human input devices, creating an exploitable attack surface for adversarial automation. USB Human Interface Device (HID) emulation attacks…

cs.RO2025

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation

Francesco Marchiori, Rohan Sinha, Christopher Agia +4

Large Language Models (LLMs) and Vision-Language Models (VLMs) are increasingly deployed in robotic environments but remain vulnerable to jailbreaking attacks that bypass safety me…

cs.CR2025

Inference Attacks on Encrypted Online Voting via Traffic Analysis

Anastasiia Belousova, Francesco Marchiori, Mauro Conti

Online voting enables individuals to participate in elections remotely, offering greater efficiency and accessibility in both governmental and organizational settings. As this meth…

cs.CR2025

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?

Francesco Marchiori, Marco Alecci, Luca Pajola +1

Adversarial examples are small and often imperceptible perturbations crafted to fool machine learning models. These attacks seriously threaten the reliability of deep neural networ…