33 citations · 76 across the 11 of their papers we have counts for
12 papers
Disentangling Self-Distillation: Measuring and Modeling Acquisition and Retention
Luis Zuin, Alexis Huet, Dario Rossi +1
Self-distillation with privileged context adapts a language model from demonstrations by letting the model, once conditioned on a reference response, teach its context-free copy to…
CyberSleuth: Autonomous Blue-Team LLM Agent for Web Attack Forensics
Stefano Fumero, Kai Huang, Matteo Boffa +3
Post-mortem analysis of compromised systems is a key aspect of cyber forensics, today a mostly manual, slow, and error-prone task. Agentic AI, i.e., LLM-powered agents, is a promis…
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
Alexis Huet, Zied Ben Houidi, Dario Rossi
Episodic memory -- the ability to recall specific events grounded in time and space -- is a cornerstone of human cognition, enabling not only coherent storytelling, but also planni…
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
Raphael Azorin, Zied Ben Houidi, Massimo Gallo +2
Tabular data is ubiquitous in many real-life systems. In particular, time-dependent tabular data, where rows are chronologically related, is typically used for recording historical…
Generic Multi-modal Representation Learning for Network Traffic Analysis
Luca Gioacchini, Idilio Drago, Marco Mellia +2
Network traffic analysis is fundamental for network management, troubleshooting, and security. Tasks such as traffic classification, anomaly detection, and novelty discovery are fu…
LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis
Matteo Boffa, Rodolfo Vieira Valentim, Luca Vassio +4
The collection of security-related logs holds the key to understanding attack behaviors and diagnosing vulnerabilities. Still, their analysis remains a daunting challenge. Recently…
User-aware WLAN Transmit Power Control in the Wild
Jonatan Krolikowski, Zied Ben Houidi, Dario Rossi
In Wireless Local Area Networks (WLANs), Access point (AP) transmit power influences (i) received signal quality for users and thus user throughput, (ii) user association and thus…
Cross-network transferable neural models for WLAN interference estimation
Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben Houidi +2
Airtime interference is a key performance indicator for WLANs, measuring, for a given time period, the percentage of time during which a node is forced to wait for other transmissi…
Neural language models for network configuration: Opportunities and reality check
Zied Ben Houidi, Dario Rossi
Boosted by deep learning, natural language processing (NLP) techniques have recently seen spectacular progress, mainly fueled by breakthroughs both in representation learning with…
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure
Matteo Boffa, Zied Ben Houidi, Jonatan Krolikowski +1
Recent years have witnessed the promise that reinforcement learning, coupled with Graph Neural Network (GNN) architectures, could learn to solve hard combinatorial optimization pro…
White Paper on Crowdsourced Network and QoE Measurements -- Definitions, Use Cases and Challenges
Tobias Hoßfeld, Stefan Wunderer, André Beyer +13
This white paper is the outcome of the Würzburg seminar on "Crowdsourced Network and QoE Measurements" which took place from 25-26 September 2019 in Würzburg, Germany. Internationa…
WeBrowse: Mining HTTP logs online for network-based content recommendation
Giuseppe Scavo, Zied Ben Houidi, Stefano Traverso +2
A powerful means to help users discover new content in the overwhelming amount of information available today is sharing in online communities such as social networks or crowdsourc…