Publications

Search for publications at Department of Computer Science

Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

Damgård, I., Jakobsen, T. P., Nielsen, J. B., Pagter, J. I. & Østergaard, M. B. (2022). Fast threshold ECDSA with honest majority. Journal of Computer Security, 30(1), 167-196. https://doi.org/10.3233/JCS-200112

Baum, C., Jadoul, R., Orsini, E., Scholl, P. & Smart, N. P. (2022). Feta: Efficient Threshold Designated-Verifier Zero-Knowledge Proofs. In CCS'22 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (pp. 293-306). Association for Computing Machinery. https://doi.org/10.1145/3548606.3559354

Ganesh, C., Orlandi, C., Pancholi, M. R., Takahashi, A. & Tschudi, D. (2022). Fiat-Shamir Bulletproofs are Non-Malleable (in the Algebraic Group Model). In O. Dunkelman & S. Dziembowski (Eds.), Advances in Cryptology – EUROCRYPT 2022 (pp. 397-426). Springer. https://doi.org/10.1007/978-3-031-07085-3_14

Barman, S., Khan, A., Shyam, S. & Sreenivas, K. V. N. (2022). Finding Fair Allocations under Budget Constraints. arxiv.org. https://doi.org/10.48550/arXiv.2208.08168

Milo, M., Nielsen, E. H., Annenkov, D. & Spitters, B. (2022). Finding smart contract vulnerabilities with ConCert's property-based testing framework. FMBC: Formal Methods for Blockchains https://doi.org/10.48550/arXiv.2208.00758

Milo, M., Nielsen, E. H., Annenkov, D. & Spitters, B. (2022). Finding Smart Contract Vulnerabilities with ConCert's Property-Based Testing Framework. In Z. Dargaye & C. Schneidewind (Eds.), 4th International Workshop on Formal Methods for Blockchains (FMBC 2022) Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.FMBC.2022.2

Brendborg, J., Karras, P., Pavlogiannis, A., Rasmussen, A. U. & Tkadlec, J. (2022). Fixation Maximization in the Positional Moran Process. Proceedings of the AAAI Conference on Artificial Intelligence, 36(9, AAAI Technical Track on Multiagent Systems), 9304-9312. https://doi.org/10.1609/aaai.v36i9.21160

Filos-Ratsikas, A., Hansen, K. A., Hogh, K. & Hollender, A. (2022). FIXP-membership via Convex Optimization: Games, Cakes, and Markets. In 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS) (pp. 827-838). IEEE. https://doi.org/10.1109/FOCS52979.2021.00085

Madsen, M., Starup, J. L. & Lhoták, O. (2022). Flix: A Meta Programming Language for Datalog. In Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) (pp. 202-206). CEUR-WS.org. https://ceur-ws.org/Vol-3203/short8.pdf

Matt, C., Nielsen, J. B. & Thomsen, S. E. (2022). Formalizing Delayed Adaptive Corruptions and the Security of Flooding Networks. Cryptology ePrint Archive. https://eprint.iacr.org/2022/010

Matt, C., Nielsen, J. B. & Thomsen, S. E. (2022). Formalizing Delayed Adaptive Corruptions and the Security of Flooding Networks. In Advances in Cryptology – CRYPTO 2022 - 42nd Annual International Cryptology Conference, CRYPTO 2022, Proceedings: 42nd Annual International Cryptology Conference, CRYPTO 2022, Procerdings (pp. 400-430). Springer, Cham. https://doi.org/10.1007/978-3-031-15979-4_14

Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022). From Demo to Design in Teaching Machine Learning. In Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 2168-2178). Association for Computing Machinery. https://doi.org/10.1145/3531146.3534634

Ishai, Y., Patra, A., Patranabis, S., Ravi, D. & Srinivasan, A. (2022). Fully-Secure MPC with Minimal Trust. In Theory of Cryptography - 20th International Conference, TCC 2022, Proceedings (pp. 470–501). Springer. https://doi.org/10.1007/978-3-031-22365-5_17

Lystbæk, M. N., Rosenberg, P., Pfeuffer, K., Grønbæk, J. E. & Gellersen, H. (2022). Gaze-Hand Alignment: Combining Eye Gaze and Mid-Air Pointing for Interacting with Menus in Augmented Reality. Proceedings of the ACM on Human-Computer Interaction, 6(ETRA), Article 145. https://doi.org/10.1145/3530886

David, B., Magri, B., Matt, C., Nielsen, J. B. & Tschudi, D. (2022). GearBox: Optimal-size Shard Committees by Leveraging the Safety-Liveness Dichotomy. In CCS'22 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (pp. 683-696). Association for Computing Machinery. https://doi.org/10.1145/3548606.3559375

Nyborg, J. C., Pelletier, C. & Assent, I. (2022). Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. In Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 (pp. 1391-1401). IEEE. https://doi.org/10.1109/CVPRW56347.2022.00145

Draganov, A., Berry, T., Jørgensen, J. R., Nellemann, K. S., Assent, I. & Mottin, D. (2022). GiDR-DUN; Gradient Dimensionality Reduction -- Differences and Unification. https://doi.org/10.48550/arXiv.2206.09689

Jørgensen, J. R., Nellemann, K. S., Assent, I., Pathak, A. R. & Elster, A. C. (2022). GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. 196-206. Paper presented at EDBT 2022: 24th International Conference on Extending Database Technology.

Sebastian Stær Knudsen, M., Almskou Brodal, L., Peczalski, P. K., Moradan, A., Mottin, D. & Assent, I. (2022). GraB: Graph Benchmark for Heterogeneous Graph Clustering. https://openreview.net/forum?id=qsGpFRlK0a

Afshani, P., Killmann, R. & Larsen, K. G. (2022). Hierarchical Categories in Colored Searching. In S. W. Bae & H. Park (Eds.), 33rd International Symposium on Algorithms and Computation, ISAAC 2022 Article 25 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ISAAC.2022.25

Kaspersen, M. H., Bilstrup, K. E. K., Van Mechelen, M., Hjort, A., Bouvin, N. O. & Petersen, M. G. (2022). High school students exploring machine learning and its societal implications: Opportunities and challenges. International Journal of Child-Computer Interaction, 34, Article 100539. https://doi.org/10.1016/j.ijcci.2022.100539

Sten Andersen, M., Rask Schmahl, O., Galli, G., Alavesa, P. & Pakanen, M. (2022). HIPPA: Smart Wearables for Enriching the Gameplay of a Traditional Tag Game. In CHI PLAY '22: Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (pp. 31-37). Association for Computing Machinery. https://doi.org/10.1145/3505270.3558321

Zizzo, A. R., Hvidman, L., Salvig, J. D., Holst, L., Kyng, M. & Petersen, O. B. (2022). Home management by remote self-monitoring in intermediate- and high-risk pregnancies: A retrospective study of 400 consecutive women. Acta Obstetricia et Gynecologica Scandinavica, 101(1), 135-144. https://doi.org/10.1111/aogs.14294

Guimaraes, A., Neumann, L., Andaló, F. A., Aranha, D. F. & Borin, E. (2022). Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud. In Proceedings - 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing Workshops, SBAC-PADW 2022 (pp. 33-38). IEEE. https://doi.org/10.1109/SBAC-PADW56527.2022.00015

Christiansen, M., Villadsen, L., Zhong, Z., Teso, S. & Mottin, D. (2022). How Faithful are Self-Explainable GNNs?. Paper presented at Learning on Graphs Conference 2022.

Seinfeld, S., Feuchtner, T., Pinzek, J. & Müller, J. (2022). Impact of Information Placement and User Representations in VR on Performance and Embodiment. IEEE Transactions on Visualization and Computer Graphics, 28(3), 1545-1556. https://doi.org/10.1109/TVCG.2020.3021342

Caragiannis, I., Christodoulou, G. & Protopapas, N. (2022). Impartial Selection with Additive Approximation Guarantees. Theory of Computing Systems, 66(3), 721-742. https://doi.org/10.1007/s00224-022-10081-0

Cohen-Addad, V., Larsen, K. G., Saulpic, D., Schwiegelshohn, C. & Sheikh-Omar, O. A. (2022). Improved Coresets for Euclidean k-Means. arxiv.org. https://doi.org/10.48550/arXiv.2211.08184

Cohen-Addad, V., Larsen, K. G., Saulpic, D., Schwiegelshohn, C. & Sheikh-Omar, O. A. (2022). Improved Coresets for Euclidean k-Means. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022 Neural Information Processing Systems Foundation.

Thai Son, M., Jacobsen, J., Amer-Yahia, S., Spence, I., Tran, P., Assent, I. & Viet Hung Nguyen, Q. (2022). Incremental Density-based Clustering on Multicore Processors. I E E E Transactions on Pattern Analysis and Machine Intelligence, 44(3), 1338-1356. https://doi.org/10.1109/TPAMI.2020.3023125

Svoboda, J., Tkadlec, J., Pavlogiannis, A., Chatterjee, K. & Nowak, M. A. (2022). Infection dynamics of COVID-19 virus under lockdown and reopening. Scientific Reports, 12, Article 1526. https://doi.org/10.1038/s41598-022-05333-5

Durocher, L., Karras, P., Pavlogiannis, A. & Tkadlec, J. (2022). Invasion Dynamics in the Biased Voter Process. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 265-271). IJCAI Organization. https://doi.org/10.24963/ijcai.2022/38

Sammler, M., Hammond, A., Lepigre, R., Campbell, B., Pichon-Pharabod, J., Dreyer, D., Garg, D. & Sewell, P. (2022). Islaris: verification of machine code against authoritative ISA semantics. In R. Jhala & I. Dillig (Eds.), PLDI 2022 - Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (pp. 825-840). Association for Computing Machinery. https://doi.org/10.1145/3519939.3523434

Sørensen, M.-L. S. K., Fog, B. V., Musaeus, L. H. & Petersen, M. G. (2022). Knit x Code: Exploring a Craftsmanship-driven Approach to Computational Thinking. In Participative Computing for Sustainable Futures : Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI'22) Article 48 Association for Computing Machinery. https://doi.org/10.1145/3547522.3547680

Sørensen, M.-L. S. K., Fog, B. V., Musaeus, L. H. & Petersen, M. G. (2022). Knit x Code - Exploring a Craftsmanship-driven Approach to Computational Thinking. Design United. https://www.4tu.nl/du/columns/Knit%20x%20Code/

Lissandrini, M., Mottin, D., Hose, K. & Pedersen, T. B. (2022). Knowledge Graph Exploration Systems: are we lost?. Paper presented at 12th Annual Conference on
Innovative Data Systems Research (CIDR ’22), Chaminade, United States. https://dblp.org/db/conf/cidr/cidr2022.html

Aranha, D. F., Lin, C., Orlandi, C. & Simkin, M. (2022). Laconic Private Set-Intersection From Pairings. In CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (pp. 111-124). Association for Computing Machinery. https://doi.org/10.1145/3548606.3560642

Spies, S., Gäher, L., Tassarotti, J., Jung, R., Krebbers, R., Birkedal, L. & Dreyer, D. (2022). Later credits: resourceful reasoning for the later modality. Proceedings of the ACM on Programming Languages , 6(ICFP), Article 100. https://doi.org/10.1145/3547631

Rachuri, R. & Scholl, P. (2022). Le Mans: Dynamic and Fluid MPC for Dishonest Majority. In Y. Dodis & T. Shrimpton (Eds.), Advances in Cryptology – CRYPTO 2022 - 42nd Annual International Cryptology Conference, CRYPTO 2022, Proceedings (pp. 719-749). Springer. https://doi.org/10.1007/978-3-031-15802-5_25

Georges, A. L., Trieu, A. & Birkedal, L. (2022). Le temps des cerises: Efficient temporal stack safety on capability machines using directed capabilities. Proceedings of the ACM on Programming Languages , 6(OOPSLA1), Article 74. https://doi.org/10.1145/3527318

Afshani, P., Iacono, J., Jayapaul, V., Karsin, B. & Sitchinava , N. (2022). Locality-of-Reference Optimality of Cache-Oblivious Algorithms. In 3rd Symposium on Algorithmic Principles of Computer Systems, (APOCS) (pp. 31 - 45). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977059.3

Reiter, K., Pfeuffer, K., Esteves, A., Mittermeier, T. & Alt, F. (2022). Look & Turn: One-handed and Expressive Menu Interaction by Gaze and Arm Turns in VR. In S. N. Spencer (Ed.), Proceedings - ETRA 2022: ACM Symposium on Eye Tracking Research and Applications Article 66 Association for Computing Machinery. https://doi.org/10.1145/3517031.3529233

Abram, D., Nof, A., Orlandi, C., Scholl, P. & Shlomovits, O. (2022). Low-Bandwidth Threshold ECDSA via Pseudorandom Correlation Generators. In 2022 IEEE Symposium on Security and Privacy (SP) (pp. 2554-2572). IEEE. https://doi.org/10.1109/SP46214.2022.9833559

Abram, D. & Scholl, P. (2022). Low-Communication Multiparty Triple Generation for SPDZ from Ring-LPN. In G. Hanaoka, J. Shikata & Y. Watanabe (Eds.), Public-Key Cryptography – PKC 2022: 25th IACR International Conference on Practice and Theory of Public-Key Cryptography, Virtual Event, March 8–11, 2022, Proceedings, Part I (pp. 221-251). Springer. https://doi.org/10.1007/978-3-030-97121-2_9

Grandoni, F., Schwiegelshohn, C., Solomon, S. & Uzrad, A. (2022). Maintaining an EDCS in General Graphs: Simpler, Density-Sensitive and with Worst-Case Time Bounds. In Symposium on Simplicity in Algorithms (SOSA) (pp. 12-23). Society for Industrial and Applied Mathematics Publications. https://doi.org/10.1137/1.9781611977066.2

Matakos, A., Aslay, C., Galbrun, E. & Gionis, A. (2022). Maximizing the Diversity of Exposure in a Social Network. IEEE Transactions on Knowledge and Data Engineering, 34(9), 4357-4370. https://doi.org/10.1109/TKDE.2020.3038711

Vindum, S. F., Frumin, D. & Birkedal, L. (2022). Mechanized Verification of a Fine-Grained Concurrent Queue from Meta s Folly Library. In A. Popescu & S. Zdancewic (Eds.), CPP 2022 : Proceedings of the 11th ACM SIGPLAN International Conference on Certified Programs and Proofs, co-located with POPL 2022 (pp. 100-115). Association for Computing Machinery. https://doi.org/10.1145/3497775.3503689

Espitau, T., Fouque, P.-A., Gérard, F., Rossi, M., Takahashi, A., Tibouchi, M., Wallet, A. & Yu, Y. (2022). MITAKA: A Simpler, Parallelizable, Maskable Variant of Falcon. In O. Dunkelman & S. Dziembowski (Eds.), Advances in Cryptology – EUROCRYPT 2022 - 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings (Vol. 3, pp. 222-253). Springer. https://doi.org/10.1007/978-3-031-07082-2_9

Gratzer, D., Cavallo, E., Kavvos, G. A., Guatto, A. & Birkedal, L. (2022). Modalities and Parametric Adjoints. ACM Transactions on Computational Logic, 23(3), Article 18. https://doi.org/10.1145/3514241

Pauli, A. B., Derczynski, L. & Assent, I. (2022). Modelling Persuasion through Misuse of Rhetorical Appeals. In NLP4PI 2022 - 2nd Workshop on NLP for Positive Impact, Proceedings of the Workshop (pp. 89-100). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.nlp4pi-1.11

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Marianne Dammand Iversen

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