Is your AI model secure? A study of data poisoning attacks on AI models

Authors

Nouredine Tamani (ORCID: https://orcid.org/0000-0001-9447-4159)
Lina Feriel Benassou
Saad El Jaouhari

Institutions

Institut Supérieur d'Électronique de Paris (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2026-03-05
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

article

Is your AI model secure? A study of data poisoning attacks on AI models

Nouredine Tamani, Lina Feriel Benassou, Saad El Jaouhari

Mar 5, 2026

SPIRE - Sciences Po Institutional REpository

Adversarial Robustness in Machine Learning

article

Is your AI model secure? A study of data poisoning attacks on AI models

Nouredine Tamani, Lina Feriel Benassou, Saad El Jaouhari

March 5, 2026article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Institut Supérieur d'Électronique de Paris (FR)

Openalex Percentile: Top 60%

Adversarial Robustness in Machine Learning

OpenAlex

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.

Is your AI model secure? A study of data poisoning attacks on AI models — Nouredine Tamani, Lina Feriel Benassou, et al. · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS