Felice Antonio Merra

According to our database, Felice Antonio Merra authored at least 34 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hyperband-based Bayesian Optimization for Black-box Prompt Selection.

Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra

CoRR, 2024

Empowering Shilling Attacks with Katz and Exclusivity-based Relatedness.

Felice Antonio Merra, Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

Adversarial Machine Learning in Recommender Systems.

Felice Antonio Merra

SIGIR Forum, June, 2023

Formalizing Multimedia Recommendation through Multimodal Deep Learning.

Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio

CoRR, 2023

Improving the Relevance of Product Search for Queries with Negations.

Felice Antonio Merra, Omar Zaidan, Fabricio de Sousa Nascimento

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries.

Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Adversarial Recommender Systems: Attack, Defense, and Advances.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the Recommender Systems Handbook, 2022

A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks.

Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

ACM Comput. Surv., 2022

Search Filter Ranking with Language-Aware Label Embeddings.

Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Leveraging Content-Style Item Representation for Visual Recommendation.

Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

Proceedings of the Advances in Information Retrieval, 2022

2021

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

CoRR, 2021

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AMFLP: Adversarial Matrix Factorization-based Link Predictor in Social Graphs.

Giuseppe De Candia, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Daniele Malitesta, Felice Antonio Merra

Proceedings of the Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning.

Vito Walter Anelli, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks.

Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems.

Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.

Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

CoRR, 2020

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders.

Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

CoRR, 2020

Adversarial Machine Learning in Recommender Systems: State of the art and Challenges.

Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

CoRR, 2020

Adversarial Machine Learning in Recommender Systems (AML-RecSys).

Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models.

Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge-enhanced Shilling Attacks for Recommendation.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra, Giuseppe Acciani, Eugenio Di Sciascio

Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra

Proceedings of the Semantic Web - 17th International Conference, 2020

TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems.

Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2020

Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper).

Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra

Proceedings of the AIxIA 2020 Discussion Papers Workshop co-located with the the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA2020), 2020

2019

Assessing the Impact of a User-Item Collaborative Attack on Class of Users.

Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019