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., 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
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
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.
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., 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.
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.
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., 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., 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., 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.