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L. Erdodi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3

identity via Semantic Scholar / OpenAlex

most citedStack-based Buffer Overflow Detection using Recurrent Neural Networks

8 citations · 12 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CR2021

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

Laszlo Erdodi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro

In this paper, we propose a formalization of the process of exploitation of SQL injection vulnerabilities. We consider a simplification of the dynamics of SQL injection attacks by…

cs.CR2020★ 8 cited

Stack-based Buffer Overflow Detection using Recurrent Neural Networks

William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro

Detecting vulnerabilities in software is a critical challenge in the development and deployment of applications. One of the most known and dangerous vulnerabilities is stack-based…

cs.CR2020★ 4 cited

The Agent Web Model -- Modelling web hacking for reinforcement learning

Laszlo Erdodi, Fabio Massimo Zennaro

Website hacking is a frequent attack type used by malicious actors to obtain confidential information, modify the integrity of web pages or make websites unavailable. The tools use…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.