Contact Information

    Phone: +39 080 5963641



    Algoritmi e Strutture Dati in Java

    Felice Antonio Merra

    PhD Student


    V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
    RecSys 21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 2021

    Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
    The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, 20213404835

    Adversarial Learning for Recommendation
    Adversarial Machine Learning, Recommender SystemsAdvances in Information Retrieval -43rd European Conference on {IR} Research, {ECIR} 2021ECIR21_ADVERSARIAL_LEARNING_FOR_RECOMMENDATION

    Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders
    Adversarial Machine Learning, Recommender Systems, Deep LearningThe 1st Workshop on Dataset Curation and Security co-located with the 34th Conference on Neural InformationProcessing Systems (NeurIPS 2020), Vancouver, Canada (Virtual Event).CR_WDCS_NEURIPS2020_ASSESSING_PERCEPTUAL_AND_RECOMMENDATION_MUTATION_OF_ADVERSARIALLI_POISONED_VISUAL_RECOMMENDERS

    Knowledge-enhanced Shilling Attacks for recommendation
    Shilling Attack, Recommender SystemThe 28th Italian Symposium on Advanced Database Systems (SEBD 2020), Villasimius (CA), Italy, June 21-24, 2020SEBD2020___KNOWLEDGE_ENHANCED_SHILLING_ATTACKS_FOR_RECOMMENDATION

    Adversarial Machine Learning in Recommender Systems (AML-RecSys)
    WSDM'20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020WSDM2020_ADVERSARIALMACHINELEARNING

    TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems
    Adversarial Machine Learning, Recommender SystemsThe 3rd International Workshop on Dependable and Secure Machine Learning – DSML 2020 Co-located with the 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)PID6442119

    Assessing the Impact of a User-Item Collaborative Attack on Class of Users
    shilling attack: recommender systems; user classIn Proceedings of the 13th ACM RecSys Workshop on Impact of Recommender Systems, (ImpactRS@RecSys'19)