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2004.04647
Cited By

Adversarial Genetic Programming for Cyber Security: A Rising Application
Domain Where GP Matters

Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters

Genetic Programming and Evolvable Machines (GPEM), 2020

7 April 2020

Una-May O’Reilly

Daniel Prado Sanchez

Anthony Erb Luogo

ArXiv (abs)PDF HTML

Papers citing "Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters"

5 / 5 papers shown

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning OperatorsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2025

Steven Jorgensen

Una-May O’Reilly

242

0

0

08 May 2025

Evolving Assembly Code in an Adversarial Environment

Evolving Assembly Code in an Adversarial Environment

139

2

0

28 Mar 2024

LLMs Killed the Script Kiddie: How Agents Supported by Large Language
Models Change the Landscape of Network Threat Testing

LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing

Una-May O’Reilly

263

36

0

10 Oct 2023

Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function

Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear FunctionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022

Per Kristian Lehre

325

18

0

30 Jun 2022

Using a Collated Cybersecurity Dataset for Machine Learning and
Artificial Intelligence

Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence

Una-May O’Reilly

165

11

0

05 Aug 2021

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