Felice Antonio Merra

Orcid: 0009-0003-8429-3487

According to our database1, Felice Antonio Merra authored at least 32 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Adversarial Machine Learning in Recommender Systems.
SIGIR Forum, June, 2023

Formalizing Multimedia Recommendation through Multimodal Deep Learning.
CoRR, 2023

Improving the Relevance of Product Search for Queries with Negations.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Adversarial Recommender Systems: Attack, Defense, and Advances.
Proceedings of the Recommender Systems Handbook, 2022

A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks.
ACM Comput. Surv., 2022

Search Filter Ranking with Language-Aware Label Embeddings.
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.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Leveraging Content-Style Item Representation for Visual Recommendation.
Proceedings of the Advances in Information Retrieval, 2022

2021
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality.
CoRR, 2021

A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.
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.
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.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity.
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.
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.
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.
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.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders.
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.
CoRR, 2020

An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders.
CoRR, 2020

Adversarial Machine Learning in Recommender Systems: State of the art and Challenges.
CoRR, 2020

Adversarial Machine Learning in Recommender Systems (AML-RecSys).
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.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge-enhanced Shilling Attacks for Recommendation.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs.
Proceedings of the Semantic Web - 17th International Conference, 2020

TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems.
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).
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.
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019


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