Fabio Massimo Zennaro | DeepAI

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∙ 05/07/2023

Quantifying Consistency and Information Loss for Causal Abstraction Learning

Structural causal models provide a formalism to express causal relations...

0 Fabio Massimo Zennaro, et al. ∙

∙ 01/14/2023

Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions

An abstraction can be used to relate two structural causal models repres...

0 Fabio Massimo Zennaro, et al. ∙

∙ 08/01/2022

Towards Computing an Optimal Abstraction for Structural Causal Models

Working with causal models at different levels of abstraction is an impo...

0 Fabio Massimo Zennaro, et al. ∙

∙ 07/18/2022

Abstraction between Structural Causal Models: A Review of Definitions and Properties

Structural causal models (SCMs) are a widespread formalism to deal with ...

0 Fabio Massimo Zennaro, et al. ∙

∙ 01/08/2021

Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents

In this paper, we propose a first formalization of the process of exploi...

0 Laszlo Erdodi, et al. ∙

∙ 12/30/2020

Stack-based Buffer Overflow Detection using Recurrent Neural Networks

Detecting vulnerabilities in software is a critical challenge in the dev...

0 William Arild Dahl, et al. ∙

∙ 12/17/2020

Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions

Threat detection of weapons and aggressive behavior from live video can ...

0 Alexander Egiazarov, et al. ∙

∙ 09/23/2020

The Agent Web Model – Modelling web hacking for reinforcement learning

Website hacking is a frequent attack type used by malicious actors to ob...

0 Laszlo Erdodi, et al. ∙

∙ 08/17/2020

Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems

The multi-armed bandit problem is a classical decision-making problem wh...

0 Fabio Massimo Zennaro, et al. ∙

∙ 05/26/2020

Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning

Penetration testing is a security exercise aimed at assessing the securi...

0 Fabio Massimo Zennaro, et al. ∙

∙ 10/20/2019

Towards Further Understanding of Sparse Filtering via Information Bottleneck

In this paper we examine a formalization of feature distribution learnin...

0 Fabio Massimo Zennaro, et al. ∙

∙ 06/20/2019

Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings

In this paper we offer a preliminary study of the application of Bayesia...

0 Fabio Massimo Zennaro, et al. ∙

∙ 10/01/2018

Counterfactually Fair Prediction Using Multiple Causal Models

In this paper we study the problem of making predictions using multiple ...

0 Fabio Massimo Zennaro, et al. ∙

∙ 08/17/2018

An Empirical Evaluation of the Approximation of Subjective Logic Operators Using Monte Carlo Simulations

In this paper we analyze the use of subjective logic as a framework for ...

0 Fabio Massimo Zennaro, et al. ∙

∙ 05/24/2018

Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation

In this paper we consider the problem of combining multiple probabilisti...

0 Fabio Massimo Zennaro, et al. ∙

∙ 07/22/2016

On the Use of Sparse Filtering for Covariate Shift Adaptation

In this paper we formally analyse the use of sparse filtering algorithms...

0 Fabio Massimo Zennaro, et al. ∙