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.
- Abbadini, M., Beretta, M., Facchinetti, D., Oldani, G., Rossi, M., Paraboschi, S. (2023). 'Lightweight Cloud Application Sandboxing', in 14th IEEE International Conference on Cloud Computing Technology and Science (CLOUDCOM), December 4-6, 2023. Available at: https://cs.unibg.it/seclab-papers/2023/CLOUDCOM/dmng.pdf
- Abbadini, M., Beretta, M., Facchinetti, D., Oldani, G., Rossi, M., Paraboschi, S. (2023). 'Poster: Leveraging eBPF to enhance sandboxing of WebAssembly runtimes', in Proceedings of AsiaCCS 2023, ACM, Melbourne, Australia. Available at: https://dl.acm.org/doi/10.1145/3579856.3592831 Gold Open Access
- Abbadini, M., Facchinetti, D., Oldani, G., Rossi, M., Paraboschi, S. (2023). 'Cage4Deno: A Fine-Grained Sandbox for Deno Subprocesses', in Proceedings of AsiaCCS 2023, ACM, Melbourne, Australia. Available at: https://dl.acm.org/doi/10.1145/3579856.3595799 Gold Open Access
- Abbadini, M., Facchinetti, D., Oldani, G., Rossi, M., Paraboschi, S. (2023). 'NatiSand: Native Code Sandboxing for JavaScript Runtimes', in Proceedings of RAID 2023, ACM, Hong Kong. Available at: https://dl.acm.org/doi/10.1145/3607199.3607233 Gold Open Access
- Agostinello, D., Genovese, A., Piuri, V. (2023). 'Anomaly-Based Intrusion Detection System for DDoS with Deep Learning Techniques', in International Conference on Security and Cryptography (SECRYPT 2023). Available at: https://air.unimi.it/retrieve/47a8c370-f33d-45f6-917c-709579939361/secrypt23.pdf Green Open Access. ISBN: 978-989-758-666-8.
- Andrea Rossi (2024). ‘Modelling Uncertainty in Cloud Workload Forecasting: A Hybrid Bayesian Neural Network Approach’, in PhD Thesis, University College Cork, University College Cork. Available at: https://cora.ucc.ie/items/feaffff9-88e5-4303-8048-ce4aba84fcd5 Gold Open Access
- Andrea Rossi, Andrea Visentin, Diego Carraro, Steven Prestwich, Kenneth N. Brown (2024). ‘Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Domain Generalization’, in Research Square, Research Square. Available at: https://doi.org/10.21203/rs.3.rs-4934203/v1. Gold Open Access
- Andrea Rossi, Andrea Visentin, Diego Carraro, Steven Prestwich, Kenneth N. Brown (2025). ‘Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning’, in Cluster Computing, Springer Science and Business Media LLC. ISSN: 1386-7857, eISSN: 1573-7543 Gold Open Access
- B. Bajic, A. Rikalovic, N. Suzic, V. Piuri (2024). ‘Toward a Human-Cyber-Physical System for Real-Time Anomaly Detection’, in IEEE Systems Journal, IEEE. ISSN: 1932-8184, eISSN: 1937-9234 Gold Open Access
- Bazinska, J., Ivanov, A., Ben-Nun, T., Dryden, N., Besta, M., Shen, S., Hoefler, T. (2023). 'Cached Operator Reordering: A Unified View for Fast GNN Training', on arXiv. Available at: https://arxiv.org/abs/2308.12093 [Accessed: 16 May 2024]. Cornell University, Ithaca, NY, USA.
- Besta, M., Blach, N., Kubicek, A., Gerstenberger, R., Podstawski, M., Gianinazzi, L., Gajda, J., Lehmann, T., Niewiadomski, H., Nyczyk, P., Hoefler, T. (2024). 'Graph of Thoughts: Solving Elaborate Problems with Large Language Models', in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI ‘24), February 20-27, 2024, Vancouver, Canada, vol. 38, issue 16. Available at: https://doi.org/10.1609/aaai.v38i16.29720 Association for the Advancement of Artificial Intelligence, Vancouver, Canada.
- Besta, M., Gerstenberger, R., Fischer, M., Podstawski, M., Blach, N., Egeli, B., Mitenkov, G., Chlapek, W., Michalewicz, M., Niewiadomski, H., Müller, J., Hoefler, T. (2023). 'The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores', in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC ‘23), November 12 - 17, 2023, Denver, CO, USA. Available at: https://dl.acm.org/doi/10.1145/3581784.3607068 ACM, Denver, CO, USA.
- Besta, M., Hoefler, T. (2023). 'Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis', IEEE TPAMI, vol. 46. Available at: 10.1109/TPAMI.2023.3303431 IEEE.
- Besta, M., Memedi, F., Zhang, Z., Gerstenberger, R., Piao, G., Blach, N., Nyczyk, P., Copik, M., Kwaśniewski, G., Müller, J., Gianinazzi, L., Kubicek, A., Niewiadomski, H., O’Mahony, A., Mutlu, O., Hoefler, T. (2024). 'Demystifying Chains, Trees, and Graphs of Thoughts', on arXiv. Available at: http://arxiv.org/abs/2401.14295 Cornell University, Ithaca, NY, USA. Green Open Access.
- Besta, M., Renc, P., Gerstenberger, R., Labini, P.S., Ziogas, A., Chen, T., Gianinazzi, L., Scheidl, F., Szenes, K., Carigiet, A., Iff, P., Kwasniewski, G., Kanakagiri, R., Ge, C., Jaeger, S., Wąs, J., Vella, F., Hoefler, T. (2023). 'High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations', in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC ‘23), November 12 - 17, 2023, Denver, CO, USA. Available at: https://dl.acm.org/doi/10.1145/3581784.3607067 ACM, Denver, CO, USA.
- 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 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI ‘24), April 16–18, 2024, Santa Clara, CA, USA. Available at: https://www.usenix.org/conference/nsdi24/presentation/blach USENIX Association, Santa Clara, CA, USA. ISBN: 978-1-939133-39-7.
- Carraro, D., Rossi, A., Visentin, A., Prestwich, S., Brown, K.N. (2023). 'Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting', in IEEE ICNP'23 - The 31st IEEE International Conference on Network Protocols, CLOUD-EDGE CONTINUUM (CEC) Workshop 2023, Iceland. Available at: https://cora.ucc.ie/items/3bc19eda-3313-49d6-aa6c-e5a9c6b30e8b IEEE, Reykjavik, Iceland. Green Open Access.
- De Capitani di Vimercati, S., Facchinetti, D., Foresti, S., Livraga, G., Oldani, G., Paraboschi, S., Rossi, M., Samarati, P. (2023). 'Scalable Distributed Data Anonymization for Large Datasets', IEEE Transactions on Big Data, vol. 9, no. 3. Available at: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9894678 Gold Open Access. ISSN: 2332-7790.
- De Capitani di Vimercati, S., Foresti, S., Jajodia, S., Livraga, G., Paraboschi, S., Samarati, P. (2023). 'Distributed query execution under access restrictions', Computers & Security, vol. 127. Available at: https://www.sciencedirect.com/science/article/pii/S0167404822004485/pdfft?md5=87bbb554bf56f0dbf07cd0e9bb96fee1&pid=1-s2.0-S0167404822004485-main.pdf Gold Open Access. ISSN: 01674048.
- De Capitani di Vimercati, S., Foresti, S., Jajodia, S., Paraboschi, S., Samarati, P., Sassi, R. (2023). 'Sentinels and Twins: Effective Integrity Assessment for Distributed Computation', IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 34, no. 1. Available at: https://www.computer.org/csdl/api/v1/periodical/trans/td/2023/01/09925639/1HCR6US33b2/download-article/pdf Gold Open Access. ISSN: 10459219.
- De Capitani di Vimercati, S., Foresti, S., Livraga, G., Samarati, P. (2023). 'Supporting User Protection Requirements in Cloud‐Based Data Outsourcing', SN Computer Science, vol. 4, no. 4. Available at: https://link.springer.com/content/pdf/10.1007/s42979-023-01707-2.pdf Green Open Access. ISSN: 3029743.
- De Capitani di Vimercati, S., Foresti, S., Samarati, P. (2023). 'Protecting Data and Queries in Cloud‐Based Scenarios', SN Computer Science, vol. 4, no. 5. Available at: https://link.springer.com/content/pdf/10.1007/s42979-023-01862-6.pdf Green Open Access. ISSN: 3029743.
- G. Cima, D. Lembo, R. Rosati, D. F. Savo (2024). ‘Controlled Query Evaluation in Description Logics through Consistent Query Answering’, in Artificial Intelligence, Elsevier BV. ISSN: 0004-3702 Gold Open Access
- Genovese, A., Piuri, V., Plataniotis, K.N., Scotti, F. (2023). 'DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia Detection', IEEE Access, vol. 11. Available at: https://doi.org/10.1109/access.2023.3289219 Gold Open Access. ISSN: 21693536.
- Gianinazzi, L., Ziogas, A.N., Huang, L., Luczynski, P., Ashkboos, S., Scheidl, F., Carigiet, A., Ge, C., Abubaker, N., Besta, M., Ben-Nun, T., Hoefler, T. (2024). 'Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication', in Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PpoPP ‘24), March 2 - 6, 2024, Edinburgh, United Kingdom. Available at: https://dl.acm.org/doi/10.1145/3627535.3638496 ACM, Edinburgh, United Kingdom.
- Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo (2024). ‘Controlled Query Evaluation through Epistemic Dependencies’, in arXiv (cs.AI), arXiv.org. Available at: https://arxiv.org/abs/2405.02458 Gold Open Access
- Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo (2025). ‘Indistinguishability in Controlled Query Evaluation over Prioritized Description Logic Ontologies’, in Journal of Web Semantics, Elsevier BV. ISSN: 1570-8268 Gold Open Access
- Iff, P., Besta, M., Cavalcante, M., Fischer, T., Benini, L., Hoefler, T. (2023). 'HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement', in Proceedings of the 60th Annual ACM/IEEE Design Automation Conference (DAC ‘23), July 9-13, 2023, San Francisco, CA, USA. Available at: https://doi.org/10.1109/DAC56929.2023.10248006 IEEE, San Francisco, CA, USA.
- Iff, P., Besta, M., Cavalcante, M., Fischer, T., Benini, L., Hoefler, T. (2023). 'Sparse Hamming Graph: A Customizable Network-on-Chip Topology', in Proceedings of the 60th Annual ACM/IEEE Design Automation Conference (DAC ‘23), July 9-13, 2023, San Francisco, CA, USA. Available at: https://doi.org/10.1109/DAC56929.2023.10247754 IEEE, San Francisco, CA, USA.
- Iff, P., Bruggmann, B., Besta, M., Benini, L., Hoefler, T. (2023). 'RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures', on arXiv. Available at: http://arxiv.org/abs/2311.06081 Cornell University, Ithaca, NY, USA. Green Open Access.
- Kouka N., Vincenzo Piuri, Pierangela Samarati (2024). ‘Tasks Scheduling with Load Balancing in Fog Computing’, in GECCO Conference, ACM. ISSN: Not available Gold Open Access
- Livraga, G., Olzojevs, A., Viviani, M. (2023). 'Unveiling the Privacy Risk: A Trade-off between User Behavior and Information Propagation in Social Media', in 12th International Conference on Complex Networks and their Applications. Available at: https://spdp.di.unimi.it/papers/lov-cn2023.pdf Springer-Verlag, Menton Riviera, France. Green Open Access.
- Locci, S., Di Caro, L., Livraga, G., Viviani, M. (2023). 'Explainability of the Effects of Non-perturbative Data Protection in Supervised Classification', in 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023). Available at: https://spdp.di.unimi.it/papers/ldlv-wiiat2023.pdf Green Open Access. ISBN: 979-8-3503-0918-8.
- Luca Herranz-Celotti, Blessing Guembe, Giovanni Livraga, Marco Viviani (2025). ‘Can Generative AI Adequately Protect Queries?’, in ECIR 2025, Springer. ISSN: ISBN: 978-3-031-88714-7 Gold Open Access
- Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler (2024). ‘HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers’, in LoG 2024, PMLR vol. 231, PMLR. Available at: https://arxiv.org/abs/2311.1852 Gold Open Access
- Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Grzegorz Kwasniewski, Shachar Klaiman, Jürgen Müller, Torsten Hoefler (2024). ‘Demystifying Higher-Order Graph Neural Networks’, in arXiv (cs.LG), arXiv.org. Available at: https://arxiv.org/abs/2406.12841 Gold Open Access
- Maciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Catarino, Robert Gerstenberger, Piotr Nyczyk, Patrick Iff, Yueling Li, Sam Houliston, Tomasz Sternal, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Łukasz Flis, Hannes Eberhard, Hubert Niewiadomski, Torsten Hoefler (2025). ‘Reasoning Language Models: A Blueprint’, in arXiv (cs.CL), arXiv.org. Available at: https://arxiv.org/abs/2501.11223 Gold Open Access
- Maciej Besta, Lorenzo Paleari, Jia Hao Andrea Jiang, Robert Gerstenberger, You Wu, Patrick Iff, Ales Kubicek, Piotr Nyczyk, Diana Khimey, Jón Gunnar Hannesson, Grzegorz Kwaśniewski, Marcin Copik, Hubert Niewiadomski, Torsten Hoefler (2025). ‘Affordable AI Assistants with Knowledge Graph of Thoughts’, in arXiv (cs.AI), arXiv.org. Available at: https://arxiv.org/abs/2504.02670 Gold Open Access
- Maciej Besta, Robert Gerstenberger, Patrick Iff, Pournima Sonawane, Juan Gómez Luna, Raghavendra Kanakagiri, Rui Min, Grzegorz Kwaśniewski, Onur Mutlu, Torsten Hoefler, Raja Appuswamy, Aidan O Mahony (2024). ‘Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments’, in arXiv (cs.AR), arXiv.org. Available at: https://arxiv.org/abs/2408.12173 Gold Open Access
- Marinelli, E., Yan, Y., Magnone, V., Dumargne, C., Barbry, P., Heinis, T., Appuswamy, R. (2023). 'Towards Migration-Free "Just-in-Case" Data Archival for Future Cloud Data Lakes Using Synthetic DNA', in VLDB vol. 16, issue 8. Available at: https://www.vldb.org/pvldb/vol16/p1923-marinelli.pdf PVLDB, Vancouver, Canada. Green Open Access.
- Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler (2025). ‘PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies’, in arXiv (cs.AR), arXiv.org. Available at: https://arxiv.org/abs/2502.01449 Gold Open Access
- Patrick Iff, Maciej Besta, Torsten Hoefler (2025). ‘FoldedHexaTorus: An Inter-Chiplet Interconnect Topology’, in arXiv (cs.AR), arXiv.org. Available at: https://arxiv.org/abs/2504.19878 Gold Open Access
- Rossi, A., Visentin, A., Prestwich, S., Brown, K.N. (2023). 'Clustering-Based Numerosity Reduction for Cloud Workload Forecasting', in Algorithmic Aspects of Cloud Computing: 8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands. Available at: https://link.springer.com/chapter/10.1007/978-3-031-49361-4_7 Springer Verlag, Amsterdam, Netherlands. Green Open Access.
- S. De Capitani di Vimercati, S. Foresti, S. Paraboschi, P. Samarati (2024). ‘Enforcing Corporate Governance Controls With Cloud-Based Services’, in IEEE Transactions on Services Computing, IEEE. ISSN: 1939-1374, eISSN: 1941-000X Gold Open Access
- Sergio Barezzani, Sabrina De Capitani di Vimercati, Sara Foresti, Valerio Ghirimoldi, Pierangela Samarati (2025). ‘TA_DA: Target-Aware Data Anonymization’, in IEEE Transactions on Privacy, IEEE. eISSN: 2836-208X Gold Open Access
- Yan, Y., Pinnamaneni, N., Chalapati, S., Crosbie, C., Appuswamy, R. (2023). 'Scaling logical density of DNA storage with enzymatically-ligated composite motifs', Scientific Reports, 13, 15978. Available at: https://www.nature.com/articles/s41598-023-43172-0 Nature. Green Open Access. ISSN: 2045-2322.