Address

    Contact Information


    Teaching

    Algoritmi e Strutture Dati in Java

    Daniele Malitesta

    Postdoc Researcher @CentraleSupélec
    PhD Graduated 2024 @SisInfLab

    Publications

    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 (SIGIR 2023)

    Adversarial Attacks Against Visually Aware Fashion Outfit Recommender Systems
    Workshop on Recommender Systems in Fashion and Retail (RecSys 2022)

    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, 2021

    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).

    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)