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Great research thrives on the exchange of information, which is essential to further develop the web of knowledge in any domain. 
In alignment with the open-source ethos of the GLACIATION project, the list below compiles all the scientific articles produced under its umbrella. The contributions range from harnessing the power of a distributed knowledge graph to enhance the privacy and sustainability of data movement and operations, to exploring the GLACIATION approach in AI and large language models. Dive into this rich repository of knowledge and discover ample opportunities to engage with and build upon the findings and results of the GLACIATION project. 

 

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  • Abbadini, M., Beretta, M., De Capitani di Vimercati, S., Facchinetti, D., Foresti, S., Oldani, G., Paraboschi, S., Rossi, M., Samarati, P. (2024). “Supporting Data Owner Control in IPFS Networks”, in ICC 2024 – IEEE International Conference on Communications, IEEE. Open Access. Peer-reviewed.

  • Anley, M.B., Genovese, A., Agostinello, D., Piuri, V. (2024). “Robust DDoS Attack Detection with Adaptive Transfer Learning”, in Computers & Security, vol. 144, Elsevier. Open Access. Peer-reviewed. ISSN: 0167-4048.

  • Anley, M.B., Genovese, A., Bekele, T.T., Piuri, V. (2025). “FLIFRA: Hybrid Data Poisoning Attack Detection in Federated Learning for IoT Security”, in IEEE SMC 2025, IEEE. Open Access. Peer-reviewed.

  • Anley, M.B., Genovese, A., Piuri, V. (2025). “TransferEdge: Transfer Learning Approach to Detect Evolving DDoS Threats in Edge-IIoT”, in RTSI 2025, IEEE. Open Access. Peer-reviewed.

  • Anley, M.B., Genovese, A., Piuri, V. (2025). “Deep Learning for DDoS Attack Detection in IoT: A Survey”, in CCIS: Security and Cryptography, Springer Nature. Open Access. Peer-reviewed. CCIS ISSN: 1865-0929 / eISSN: 1865-0937.

  • Bacis, E., De Capitani di Vimercati, S., Foresti, S., Paraboschi, S., Rosa, M., Samarati, P. (2024). “Mix&Slice for Efficient Access Revocation on Outsourced Data”, in IEEE Transactions on Dependable and Secure Computing, vol. 21. Open Access. Peer-reviewed. ISSN: 1545-5971.

  • Bajic, B., Rikalovic, A., Suzic, N., Piuri, V. (2024). “Toward a Human-Cyber-Physical System for Real-Time Anomaly Detection”, in IEEE Systems Journal, vol. 18. Open Access. Peer-reviewed. ISSN: 1932-8184 / eISSN: 1937-9234.

  • Barezzani, S., De Capitani di Vimercati, S., Foresti, S., Ghirimoldi, V., Samarati, P. (2025). “TA_DA: Target-Aware Data Anonymization”, in IEEE Transactions on Privacy, vol. 2. Open Access. Peer-reviewed. eISSN: 2836-208X.

  • Barbato, M., Ceselli, A., De Capitani di Vimercati, S., Foresti, S., Samarati, P. (2025). “PriSM: A Privacy-friendly Support Vector Machine”, in ESORICS 2025, Springer Nature. Open Access. Peer-reviewed.

  • Besta, M., Catarino Afonso, C., Gianinazzi, L., Blach, N., Nyczyk, P., Niewiadomski, H., Hoefler, T. (2024). “HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers”, in LoG 2024 (PMLR vol. 231). Open Access. Peer-reviewed. PMLR ISSN: 2640-3498.

  • Besta, M., Scheidl, F., Gianinazzi, L., Kwasniewski, G., Klaiman, S., Müller, J., Hoefler, T. (2024). “Demystifying Higher-Order Graph Neural Networks”, arXiv (cs.LG). Open Access. Not peer-reviewed.

  • Besta, M., Gerstenberger, R., Iff, P., Sonawane, P., Gómez Luna, J., Kanakagiri, R., Min, R., Kwasniewski, G., Mutlu, O., Hoefler, T., Appuswamy, R., O’Mahony, A. (2024). “Hardware Acceleration for Knowledge Graph Processing”, arXiv (cs.AR). Open Access. Not peer-reviewed.

  • Besta, M., Barth, J., Schreiber, E., Kubicek, A., Catarino, A., Gerstenberger, R., Nyczyk, P., Iff, P., Li, Y., Houliston, S., Sternal, T., Copik, M., Kwasniewski, G., Müller, J., Flis, Ł., Eberhard, H., Niewiadomski, H., Hoefler, T. (2025). “Reasoning Language Models: A Blueprint”, arXiv (cs.CL). Open Access. Not peer-reviewed.

  • Besta, M., Paleari, L., Jiang, J.H.A., Gerstenberger, R., Wu, Y., Iff, P., Kubicek, A., Nyczyk, P., Khimey, D., Hannesson, J.G., Kwasniewski, G., Copik, M., Niewiadomski, H., Hoefler, T. (2025). “Affordable AI Assistants with Knowledge Graph of Thoughts”, arXiv (cs.AI). Open Access. Not peer-reviewed.

  • Blach, N., Besta, M., De Sensi, D., Domke, J., Harake, H., Li, S., Iff, P., Konieczny, M., Lakhotia, K., Kubicek, A., Ferrari, M., Petrini, F., Hoefler, T. (2024). “A High-Performance Design, Implementation, Deployment, and Evaluation of the Slim Fly Network”, in NSDI ’24, USENIX. Open Access. Peer-reviewed.

  • Bonatti, P.A., Cima, G., Lembo, D., Magliocca, F., Marconi, L., Rosati, R., Sauro, L., Savo, D.F. (2025). “Enhancing Cooperativity in Controlled Query Evaluation over Ontologies”, in Artificial Intelligence, vol. 348. Open Access. Peer-reviewed.

  • Capano, F., Böhler, J., Weggenmann, B. (2024). “SPRINT: Scalable Secure & Differentially Private Inference for Transformers”, in PETS 2024 / PoPETs, De Gruyter / Sciendo. Open Access. Peer-reviewed. ISSN: 2299-0984.

  • Chen, C., Moriarty, B., Hu, S., Moran, S., Pistoia, M., Piuri, V., Samarati, P. (2024). “Model-Agnostic Utility-Preserving Biometric Information Anonymization”, in International Journal of Information Security, Springer Nature. Open Access. Peer-reviewed. ISSN: 1615-5262 / eISSN: 1615-5270.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2023). “Controlled Query Evaluation in Ontology-Based Data Access”, in ISWC 2020 (LNCS), Springer Nature. Open Access. Peer-reviewed. LNCS ISSN: 0302-9743 / eISSN: 1611-3349.

  • Cima, G., Lembo, D., Rosati, R., Savo, D.F. (2024). “Controlled Query Evaluation in Description Logics Through Consistent Query Answering”, in Artificial Intelligence, vol. 334, Elsevier. Open Access. Peer-reviewed.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2024). “Controlled Query Evaluation through Epistemic Dependencies”, arXiv (cs.AI). Open Access. Not peer-reviewed.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2024). “A Gentle Introduction to Controlled Query Evaluation in DL-Lite Ontologies”, in SN Computer Science, vol. 5, Springer Nature. Open Access. Peer-reviewed.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2024). “Enhancing Controlled Query Evaluation through Epistemic Policies”, in IJCAI 2024, IJCAI Organization. Open Access. Peer-reviewed.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2025). “Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies”, in IJCAI 2025, IJCAI Organization. Open Access. Peer-reviewed.

  • Cima, G., Lembo, D., Marconi, L., Rosati, R., Savo, D.F. (2025). “Indistinguishability in Controlled Query Evaluation over Prioritized Description Logic Ontologies”, in Journal of Web Semantics, vol. 84, Elsevier. Open Access. Peer-reviewed. ISSN: 1570-8268.

  • Coscia, P., Ferrari, S., Piuri, V., Salman, A. (2025). “Synthetic and (Un)Secure: Evaluating Generalized Membership Inference Attacks on Image Data”, in SECRYPT 2025, SciTePress. Open Access. Peer-reviewed.

  • De Capitani di Vimercati, S., Facchinetti, D., Foresti, S., Oldani, G., Paraboschi, S., Rossi, M., Samarati, P. (2024). “Multi-Dimensional Flat Indexing for Encrypted Data”, in IEEE Transactions on Cloud Computing, vol. 12. Open Access. Peer-reviewed.

  • De Capitani di Vimercati, S., Foresti, S., Jajodia, S., Livraga, G., Paraboschi, S., Samarati, P. (2024). “Distributed Query Execution Under Access Restrictions”, in Computers & Security, vol. 127, Elsevier. Open Access. Peer-reviewed. ISSN: 0167-4048.

  • De Capitani di Vimercati, S., Foresti, S., Paraboschi, S., Samarati, P. (2024). “Enforcing Corporate Governance Controls with Cloud-Based Services”, in IEEE Transactions on Services Computing, IEEE. Open Access. Peer-reviewed. ISSN: 1939-1374 / eISSN: 1941-000X.

  • De Capitani di Vimercati, S., Foresti, S., Ghirimoldi, V., Samarati, P. (2024). “DT-Anon: Decision Tree Target-Driven Anonymization”, in DBSec 2024 (LNCS), Springer Nature. Open Access. Peer-reviewed.

  • De Capitani di Vimercati, S., Foresti, S., Samarati, P. (2024). “Query Integrity in Smart Environments”, in Security and Privacy in Smart Environments (LNCS), Springer Nature. Open Access. Peer-reviewed.

  • De Capitani di Vimercati, S., Foresti, S., Livraga, G., Paraboschi, S., Samarati, P., Tedesco, M. (2025). “Security-Aware Allocation of Replicated Data in Distributed Storage Systems”, in CLOSER 2025, SciTePress. Open Access. Peer-reviewed.

  • De Capitani di Vimercati, S., Foresti, S., Paraboschi, S., Petrilli, S., Samarati, P. (2025). “Supporting Delegation in Outsourced ICA Process”, in DBSec 2025 (LNCS), Springer Nature. Open Access. Peer-reviewed.

  • Donida Labati, R., Piuri, V., Scotti, F. (2025). “Iris Recognition from Websites and Social Media: State of the Art and Privacy Concerns”, in CCIS: Security and Cryptography, Springer Nature. Open Access. Peer-reviewed.

  • Fakhraei, N., Donida Labati, R., Piuri, V., Scotti, F. (2025). “Deep Learning-based Iris Quality Assessment for Images Sourced from Websites and Social Media”, in CIVEMSA 2025, IEEE. Open Access. Peer-reviewed.

  • Herranz-Celotti, L., Guembe, B., Livraga, G., Viviani, M. (2025). “Can Generative AI Adequately Protect Queries?”, in ECIR 2025, Springer. Open Access. Peer-reviewed.

  • Iff, P., Bruggmann, B., Besta, M., Benini, L., Hoefler, T. (2025). “PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies”, arXiv (cs.AR). Open Access. Not peer-reviewed.

  • Iff, P., Besta, M., Hoefler, T. (2025). “FoldedHexaTorus: An Inter-Chiplet Interconnect Topology”, arXiv (cs.AR). Open Access. Not peer-reviewed.

  • Kouka, N., Piuri, V., Samarati, P. (2024). “Tasks Scheduling with Load Balancing in Fog Computing”, in GECCO 2024, ACM. Open Access. Peer-reviewed.

  • Kouka, N., De Capitani di Vimercati, S., Piuri, V., Samarati, P. (2025). “An Arithmetic Optimization Algorithm with Dynamic State Estimation for Deadline-Constrained Workflow Scheduling”, in GECCO 2025, ACM. Open Access. Peer-reviewed.

  • Marinelli, E., Yan, Y., Tattini, L., Magnone, V., Barbry, P., Appuswamy, R. (2024). “CMOSS: A Reliable, Motif-based Columnar Molecular Storage System”, in SYSTOR ’24, ACM. Open Access. Peer-reviewed.

  • Rossi, A. (2024). “Modelling Uncertainty in Cloud Workload Forecasting: A Hybrid Bayesian Neural Network Approach”, PhD Thesis, University College Cork. Open Access. Not peer-reviewed.

  • Rossi, A., Visentin, A., Carraro, D., Prestwich, S., Brown, K.N. (2024). “Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Domain Generalization”, Research Square preprint. Open Access. Not peer-reviewed.

  • Rossi, A., Visentin, A., Carraro, D., Prestwich, S., Brown, K.N. (2025). “Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning”, in Cluster Computing, Springer. Open Access. Peer-reviewed. ISSN: 1386-7857 / eISSN: 1573-7543.

  • Rossi, M., Beretta, M., Facchinetti, D., Paraboschi, S. (2025). “POSTER: Transparent Temporally-Specialized System Call Filters”, in ASIACCS 2025, ACM. Open Access. Peer-reviewed.

  • Rossi, M., Beretta, M., Facchinetti, D., Paraboschi, S. (2025). “POSTER: Policy-driven Security-Aware Scheduling in Kubernetes”, in ASIACCS 2025, ACM. Open Access. Peer-reviewed.

  • Vantzos, O., Skipis, D., Chassioti, E., Moraitis, I. (2025). “Green Index: A Measure of Locally Available Green Energy for Sustainable, Grid-Aware Data Center Operations”, in EEEIC / I&CPS Europe 2025, IEEE. Open Access. Peer-reviewed.