Artifacts - Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study

Artifacts of the Paper titled Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24091771
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Artifacts - Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study

Raphael Cabral
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

Artifacts - Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study

Raphael Cabral
article en

Abstract

Artifacts of the Paper titled Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study.

Zenodo (CERN European Organization for Nuclear Research)
Pontifícia Universidade Católica do Rio de Janeiro (BR)
Adversarial Robustness in Machine Learning
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Artifacts - Unveiling Security Anti-Patterns in LLM-Based Applications: A Systematic Mapping Study — Raphael Cabral · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS