Scholar
Fatemeh Nazary
Google Scholar ID: vlfSjVEAAAAJ
Polytechnic University of Bari
Generative AI
Explainable AI
Adversarial ML
Trustworthy AI
Recommender Systems
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Citations & Impact
All-time
Citations
292
H-index
6
i10-index
5
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
5 items
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
2025
Cited
0
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
2025
Cited
0
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
2025
Cited
0
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
2025
Cited
0
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
9 total
Yashar Deldjoo
Associate Professor, Polytechnic University of Bari
Tommaso Di Noia
Full Professor, Polytechnic University of Bari
Eugenio Di Sciascio
Politecnico di Bari
Co-author 4
Julian McAuley
Professor, UC San Diego
Arnau Ramisa
Amazon
Alejandro Bellogin (ORCID: 0000-0001-6368-2510)
Universidad Autónoma de Madrid (ROR 01cby8j38)
Ali Tourani
Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg
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