Fatemeh Nazary

21 papers A 2Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 A conf
A Tutorial on Recent Advances in Generative Conversational Recommender Systems.
RecSys
Thomas Elmar Kolb, Ahmadou Wagne, Ashmi Banerjee, Fatemeh Nazary, Julia Neidhardt, Yashar Deldjoo, Tommaso Di Noia
2025 — conf
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems.
ECIR (4)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
2025 J jnl
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems.
CoRR
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
2025 J jnl
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation.
CoRR
Ali Tourani, Fatemeh Nazary, Yashar Deldjoo
2025 — conf
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems.
UMAP (Adjunct Publication)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio
2025 J jnl
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems.
CoRR
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio
2025 J jnl
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation.
CoRR
Fatemeh Nazary, Ali Tourani, Yashar Deldjoo, Tommaso Di Noia
2024 J jnl
A Review of Modern Fashion Recommender Systems.
ACM Comput. Surv.
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
2024 — conf
Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health Paradigm.
ICWE Workshops
Danilo Danese, Tommaso Di Noia, Angela Lombardi, Domenico Lofù, Fatemeh Nazary, Rodolfo Sardone, Paolo Sorino
2024 J jnl
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare.
CoRR
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio
2023 — conf
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT.
ECAI Workshops (1)
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
2023 J jnl
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT.
CoRR
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
2023 J jnl
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids.
CoRR
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio
2023 — conf
Smart Electrical Grids Under the Lens of Adversarial Attacks.
Ital-IA
Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia, Carmelo Ardito, Eugenio Di Sciascio
2022 J jnl
A Review of Modern Fashion Recommender Systems.
CoRR
Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia
2022 A conf
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid.
CIKM
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
2022 J jnl
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling.
Expert Syst. Appl.
Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
2021 — conf
ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids.
INTERACT (5)
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary, Gianluca Sapienza
2021 — conf
Revisiting Security Threat on Smart Grids: Accurate and Interpretable Fault Location Prediction and Type Classification.
ITASEC
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary
2020 — conf
Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids.
XAI.it@AI*IA
Carmelo Ardito, Yashar Deldjoo, Eugenio Di Sciascio, Fatemeh Nazary
2018 — conf
Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem.
MediaEval
Fatemeh Nazary, Yashar Deldjoo