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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...
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01/14/2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
An abstraction can be used to relate two structural causal models repres...
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08/01/2022
Towards Computing an Optimal Abstraction for Structural Causal Models
Working with causal models at different levels of abstraction is an impo...
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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 ...
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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...
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12/30/2020
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
Detecting vulnerabilities in software is a critical challenge in the dev...
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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 ...
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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...
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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...
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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...
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10/20/2019
Towards Further Understanding of Sparse Filtering via Information Bottleneck
In this paper we examine a formalization of feature distribution learnin...
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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...
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10/01/2018
Counterfactually Fair Prediction Using Multiple Causal Models
In this paper we study the problem of making predictions using multiple ...
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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 ...
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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...
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07/22/2016
