---
title: Aggregating Autoencoders for Persistent Access Threats
url: https://www.ml-quant.com/papers/ssrn/4781054/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4781054
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4781054
featured: 2024-04-03
citations: unknown
topic: ML & AI Methods
---


# Aggregating Autoencoders for Persistent Access Threats

The article presents AEAPT, a deep learning method for detecting and isolating long-term, undetected cyberattacks.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4781054
- Identifier: SSRN 4781054
- Released: 2024-04-02
- First featured: Quant Letter No. 43 (2024-04-03): https://www.ml-quant.com/issues/2024-04-03/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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