| A Survey on Adversarial Recommender Systems: from Attack/Defense Strategies to Generative Adversarial Networks Y Deldjoo, T Di Noia, FA Merra ACM Computing Surveys, 2021 | 238 | 2021 |
| Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... The 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 150 | 2021 |
| How dataset characteristics affect the robustness of collaborative recommendation models Y Deldjoo, T Di Noia, E Di Sciascio, FA Merra Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 68 | 2020 |
| TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems T Di Noia, D Malitesta, FA Merra The 50th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2020 | 61 | 2020 |
| Adversarial Machine Learning in recommender systems (aml-recsys) Y Deldjoo, T Di Noia, FA Merra The 13th International Conference on Web Search and Data Mining (WSDM), 869-872, 2020 | 50 | 2020 |
| A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, FA Merra The 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 45 | 2021 |
| Sasha: Semantic-aware shilling attacks on recommender systems exploiting knowledge graphs VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, FA Merra The 17th European Semantic Web Conference (ESWC'20), 307-323, 2020 | 43 | 2020 |
| Adversarial Recommender Systems: Attack, Defense, and Advances VW Anelli, Y Deldjoo, T Di Noia, FA Merra The 3rd Edition of Recommender Systems Handbook, 2021 | 41 | 2021 |
| MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings VW Anelli, A Bellogín, Y Deldjoo, T Di Noia, FA Merra The 34th FLAIRS Conference, 2021 | 31* | 2021 |
| Assessing the Impact of a User-Item Collaborative Attack on Class of Users Y Deldjoo, T Di Noia, FA Merra The 1st Workshop on the Impact of Recommender Systems Co-located with the …, 2019 | 29 | 2019 |
| A study on the relative importance of convolutional neural networks in visually-aware recommender systems Y Deldjoo, T Di Noia, D Malitesta, FA Merra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| Leveraging Content-Style Item Representation for Visual Recommendation Y Deldjoo, T Di Noia, D Malitesta, FA Merra The 44th European Conference on Information Retrieval (ECIR 2022), 2022 | 20 | 2022 |
| V-Elliot: Design, Evaluate and Tune Visual Recommender Systems VW ANELLI, A BELLOGÍN, A FERRARA, D MALITESTA, FA MERRA, ... The 11th edition of the Italian Information Retrieval Workshop (IIR'21), 2021 | 20 | 2021 |
| The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning VW Anelli, T Di Noia, FA Merra The 15th ACM Conference on Recommender Systems (RecSys'21), 2021 | 15 | 2021 |
| Formalizing multimedia recommendation through multimodal deep learning D Malitesta, G Cornacchia, C Pomo, FA Merra, T Di Noia, E Di Sciascio ACM Transactions on Recommender Systems, 2024 | 14 | 2024 |
| Denoise to protect: a method to robustify visual recommenders from adversaries FA Merra, VW Anelli, DN Tommaso, D Malitesta, A Mancino Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 13 | 2023 |
| A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders VW Anelli, Y Deldjoo, T Di Noia, FA Merra The 30th ACM International Conference on Information and Knowledge …, 2021 | 9 | 2021 |
| Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper). VW Anelli, T Di Noia, D Malitesta, FA Merra DP@ AI* IA 2776, 49-56, 2020 | 9 | 2020 |
| Adversarial Learning for Recommendation: Applications for Security and Generative Tasks—Concept to Code VW Anelli, Y Deldjoo, T Di Noia, FA Merra The 14th ACM Conference on Recommender System, RecSys'20, 2020 | 8 | 2020 |
| Adversarial Attacks against Visual Recommendation: an Investigation on the Influence of Items' Popularity VW Anelli, T Di Noia, E Di Sciascio, D Malitesta, FA Merra OHARS@RecSys '21, 2021 | 3 | 2021 |
Tommaso Di NoiaFull Professor, Polytechnic University of BariVerificeret mail på poliba.it