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

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Saatci, B., Rädle, R., Rintel, S., O'Hara, K. & Klokmose, C. N. (2019). Hybrid Meetings in the Modern Workplace: Stories of Success and Failure. 45-61. Paper presented at International Conference on Collaboration and Technology, Kyoto, Japan.

Dongmei, Z. & Møller, A. (Eds.) (2019). ISSTA 2019: Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. Association for Computing Machinery. ISSTA 2019 - Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis https://dl.acm.org/citation.cfm?id=3293882&picked=prox

Gratzer, D., Sterling, J. & Birkedal, L. (2019). Implementing a modal dependent type theory. Proceedings of the ACM on Programming Languages, 3(ICFP), 1-29. [107]. https://doi.org/10.1145/3341711

Afshani, P. & Phillips, J. M. (2019). Independent range sampling, revisited again. In G. Barequet & Y. Wang (Eds.), 35th International Symposium on Computational Geometry, SoCG 2019 [4] Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. Leibniz International Proceedings in Informatics, LIPIcs Vol. 129 https://doi.org/10.4230/LIPIcs.SoCG.2019.4

Mathisen, A., Horak, T., Klokmose, C. N., Grønbæk, K. & Elmqvist, N. (2019). InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics. Computer Graphics Forum, 38(3), 649-661. https://doi.org/10.1111/cgf.13717

Bizjak, A., Gratzer, D., Krebbers, R. & Birkedal, L. (2019). Iron: managing obligations in higher-order concurrent separation logic. Proceedings of the ACM on Programming Languages, 3(POPL), 1-30. [65]. https://doi.org/10.1145/3290378

Nitulescu, A. (2019). Lattice-Based Zero-Knowledge SNARGs for Arithmetic Circuits. In P. Schwabe & N. Thériault (Eds.), Progress in Cryptology – LATINCRYPT 2019 (pp. 217-236). Springer. Lecture Notes in Computer Science Vol. 11774 https://doi.org/10.1007/978-3-030-30530-7_11

Arge, L., Grønlund, A., Svendsen, S. C. & Tranberg, J. (2019). Learning to find hydrological corrections. In F. Banaei-Kashani, G. Trajcevski, R. H. Güting, L. Kulik & S. Newsam (Eds.), 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19) (pp. 464-467). Association for Computing Machinery. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems https://doi.org/10.1145/3347146.3359095

Kaspersen, M. H., Hines, S., Moore, M., Rasmussen, M. K. & Dias, M. A. (2019). Lifting Kirigami Actuators Up Where They Belong: Possibilities for SCI. In DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference (pp. 935-947). Association for Computing Machinery. https://doi.org/10.1145/3322276.3323688

Schulz, H-J., Röhlig, M., Nonnemann, L., Aehnelt, M., Diener, H., Urban, B. & Schumann, H. (2019). Lightweight Coordination of Multiple Independent Visual Analytics Tools. In A. Kerren, C. Hurter & J. Braz (Eds.), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 2, pp. 106-117). SCITEPRESS Digital Library. https://doi.org/10.5220/0007571101060117

Jacob, R., Larsen, K. G. & Nielsen, J. B. (2019). Lower Bounds for Oblivious Data Structures. In T. M. Chan (Ed.), Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 2439-2447). Society for Industrial and Applied Mathematics. Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms Vol. PRDA19 https://doi.org/10.1137/1.9781611975482.149

Farhadi, A., Hajiaghayi, M. T., Larsen, K. G. & Shi, E. (2019). Lower bounds for external memory integer sorting via network coding. In M. Charikar & E. Cohen (Eds.), STOC 2019 - Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing (pp. 997-1008). Association for Computing Machinery. A C M Symposium on the Theory of Computing. Annual Proceedings https://doi.org/10.1145/3313276.3316337

Afshani, P., Freksen, C. B., Kamma, L. & Larsen, K. G. (2019). Lower bounds for multiplication via network coding. Leibniz International Proceedings in Informatics, LIPIcs, 132, [10]. https://doi.org/10.4230/LIPIcs.ICALP.2019.10

Thiel, S-K. & Lyle, P. J. (2019). Malleable Games - A Literature Review on Communities of Game Modders. In C&T '19: Proceedings of the 9th International Conference on Communities & Technologies - Transforming Communities (pp. 198-209). Association for Computing Machinery. https://doi.org/10.1145/3328320.3328393

Grønlund, A., Kamma, L., Larsen, K. G., Mathiasen, A. & Nelson, J. (2019). Margin-Based Generalization Lower Bounds for Boosted Classifiers. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019) Neural Information Processing Systems Foundation. https://arxiv.org/abs/1909.12518

Li, Y., Fan, J., Ovchinnikov, G. & Karras, P. (2019). Maximizing multifaceted network influence. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 446-457). [8731520] IEEE. Proceedings of the International Conference on Data Engineering Vol. 2019 April https://doi.org/10.1109/ICDE.2019.00047

Timany, A. & Birkedal, L. (2019). Mechanized relational verification of concurrent programs with continuations. Proceedings of the ACM on Programming Languages, 3(ICFP), 1-28. [105]. https://doi.org/10.1145/3341709

André, É., Bloemen, V., Petrucci, L. & Pol, J. V. D. (2019). Minimal-Time Synthesis for Parametric Timed Automata. In T. Vojnar & L. Zhang (Eds.), Tools and Algorithms for the Construction and Analysis of Systems: 25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings (Vol. II, pp. 211-228). Springer. Lecture Notes in Computer Science Vol. 11428 https://doi.org/10.1007/978-3-030-17465-1

Preti, G., Lissandrini, M., Mottin, D. & Velegrakis, Y. (2019). Mining Patterns in Graphs with Multiple Weights. Distributed and Parallel Databases, 39. https://doi.org/10.1007/s10619-019-07259-w

Bloemen, V., Duret-Lutz, A. & van de Pol, J. (2019). Model checking with generalized Rabin and Fin-less automata. International Journal on Software Tools for Technology Transfer, 21(3), 307-324. https://doi.org/10.1007/s10009-019-00508-4

Møller, A. & Torp, M. T. (2019). Model-based testing of breaking changes in Node.js libraries. In S. Apel, M. Dumas, A. Russo & D. Pfahl (Eds.), ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 409-419). Association for Computing Machinery. ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering https://doi.org/10.1145/3338906.3338940

Dijk, T. V., Meijer, J. & van de Pol, J. (2019). Multi-core On-The-Fly Saturation. In Tools and Algorithms for the Construction and Analysis of Systems, 25th International Conference, (TACAS) 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, (ETAPS) 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings, Part II (pp. 58-75). Springer. Lecture Notes in Computer Science Vol. 11428 https://doi.org/10.1007/978-3-030-17465-1_4

Logins, A., Karras, P. & Jensen, C. S. (2019). Multicapacity facility selection in networks. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 794-805). [8731341] IEEE. Proceedings of the International Conference on Data Engineering Vol. 2019 April https://doi.org/10.1109/ICDE.2019.00076

Damgård, I. B., Escudero Ospina, D. E., Frederiksen, T. K., Keller, M., Scholl, P. & Volgushev, N. (2019). New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning. In 2019 IEEE Symposium on Security and Privacy (SP) IEEE. https://doi.org/10.1109/SP.2019.00078

Nielsen, B. B., Hassanshahi, B. & Gauthier, F. (2019). Nodest: Feedback-driven static analysis of Node.js applications. In S. Apel, M. Dumas, A. Russo & D. Pfahl (Eds.), ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 455-465). Association for Computing Machinery. https://doi.org/10.1145/3338906.3338933

Eskildsen, S., Iranzo, A., Stokholm, M., Staer, K., Ostergaard, K., Eroles, M., Otto, M., Svendsen, K., Pla, A., Vilas, D., Borghammer, P., Santamaria, J., Moller, A., Gaig, C., Brooks, D., Tolosa, E., Ostergaard, L. & Pavese, N. (2019). Occurrence of brain capillary dysfunction in patients with REM sleep behavior disorder. S786-S787. Abstract from International Congress of Parkinson's Disease and Movement Disorders, Nice, France.

Angelini, M., May, T., Santucci, G. & Schulz, H-J. (2019). On Quality Indicators for Progressive Visual Analytics. In EuroVis Workshop on Visual Analytics (EuroVA) (pp. 25-29). Eurographics Association. https://doi.org/10.2312/eurova.20191120

Berthelsen, M. L. T. & Hansen, K. A. (2019). On the Computational Complexity of Decision Problems About Multi-player Nash Equilibria. In D. Fotakis & E. Markakis (Eds.), Algorithmic Game Theory - 12th International Symposium, SAGT 2019, Proceedings (pp. 153-167). Springer VS. Lecture Notes in Computer Science Vol. 11801 https://doi.org/10.1007/978-3-030-30473-7_11

Abe, M., Camenisch, J., Dowsley, R. & Dubovitskaya, M. (2019). On the Impossibility of Structure-Preserving Deterministic Primitives. Journal of Cryptology, 32(1), 239-264. https://doi.org/10.1007/s00145-018-9292-1

Grønlund, A., Larsen, K. G. & Mathiasen, A. (2019). Optimal Minimal Margin Maximization with Boosting. In K. Chaudhuri & R. Salakhutdinov (Eds.), Proceedings of th 36th International Conference on Machine Learning (Vol. 97, pp. 4392-4401). International Machine Learning Society (IMLS). Proceedings of Machine Learning Research Vol. 97 http://proceedings.mlr.press/v97/mathiasen19a/mathiasen19a.pdf

Raskin, M. & Simkin, M. (2019). Perfectly Secure Oblivious RAM with Sublinear Bandwidth Overhead. In S. D. Galbraith & S. Moriai (Eds.), Advances in Cryptology – ASIACRYPT 2019: 25th International Conference on the Theory and Application of Cryptology and Information Security Kobe, Japan, December 8–12, 2019 Proceedings (Vol. II, pp. 537-563). Springer. Lecture Notes in Computer Science Vol. 11922 https://doi.org/10.1007/978-3-030-34621-8_19

Piras, E. M., Cabitza, F., Lewkowicz, M. & Bannon, L. (2019). Personal Health Records and Patient-Oriented Infrastructures: Building Technology, Shaping (New) Patients, and Healthcare Practitioners. Computer Supported Cooperative Work: CSCW: An International Journal, 28(6), 1001-1009. https://doi.org/10.1007/s10606-019-09364-x

Safavi, T., Belth, C., Faber, L., Mottin, D., Müller, E. & Koutra, D. (2019). Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. Paper presented at IEEE International Conference on Data Mining, Beijing, China. https://web.eecs.umich.edu/~dkoutra/papers/19_ICDM_GLIMPSE-CR.pdf

Agarwal, A., Dowsley, R., McKinney, N. D., Wu, D., Lin, C. T., Cock, M. D. & Nascimento, A. (2019). Privacy-Preserving Linear Regression for Brain-Computer Interface Applications. In Y. Song, B. Liu, K. Lee, N. Abe, C. Pu, M. Qiao, N. Ahmed, D. Kossmann, J. Saltz, J. Tang, J. He, H. Liu & X. Hu (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 5277-5278). [8621861] IEEE. https://doi.org/10.1109/BigData.2018.8621861

Fritchman, K., Saminathan, K., Dowsley, R., Hughes, T., De Cock, M., Nascimento, A. & Teredesai, A. (2019). Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare. In Y. Song, B. Liu, K. Lee, N. Abe, C. Pu, M. Qiao, N. Ahmed, D. Kossmann, J. Saltz, J. Tang, J. He, H. Liu & X. Hu (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 2413-2422). [8622627] IEEE. https://doi.org/10.1109/BigData.2018.8622627

Bhagat, S., Saminathan, K., Agarwal, A., Dowsley, R., De Cock, M. & Nascimento, A. (2019). Privacy-Preserving User Profiling with Facebook Likes. In Y. Song, B. Liu, K. Lee, N. Abe, C. Pu, M. Qiao, N. Ahmed, D. Kossmann, J. Saltz, J. Tang, J. He, H. Liu & X. Hu (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 5298-5299). [8622081] IEEE. https://doi.org/10.1109/BigData.2018.8622081

Bouros, P., Assent, I., Jeppesen, J. H. & Toftegaard, T. S. (2019). Processing satellite imagery for decision-making in precision agriculture. In P. Papotti (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference (EDBT/ICDT 2019) Sun Site Central Europe. https://bigvis.imsi.athenarc.gr/bigvis2019/papers/BigVis_2019_paper_4.pdf

Pedersen, M. & Chong, S. (2019). Programming with Flow-Limited Authorization: Coarser is Better. In Proceedings of the IEEE European Symposium on Security and Privacy (EuroS&P) IEEE. https://doi.org/10.1109/EuroSP.2019.00015

Ganesh, C., Orlandi, C. & Tschudi, D. (2019). Proof-of-Stake Protocols for Privacy-Aware Blockchains. In Y. Ishai & V. Rijmen (Eds.), Advances in Cryptology – EUROCRYPT 2019 (pp. 690-719). Springer. Lecture Notes in Computer Science Vol. 11476 https://doi.org/10.1007/978-3-030-17653-2_23

Damgård, I. B., Ganesh, C. & Orlandi, C. (2019). Proofs of Replicated Storage Without Timing Assumptions. In Advances in Cryptology – CRYPTO 2019 (pp. 355-380). Springer. Lecture Notes in Computer Science Vol. 11692 https://doi.org/10.1007/978-3-030-26948-7_13

Agarwal, A., Dowsley, R., McKinney, N. D., Wu, D., Lin, C-T., De Cock, M. & Nascimento, A. C. A. (2019). Protecting Privacy of Users in Brain-Computer Interface Applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(8), 1546-1555. https://doi.org/10.1109/TNSRE.2019.2926965

Grønbæk, J. E., Linding, C., Kromann, A., Jensen, T. F. H. & Petersen, M. G. (2019). Proxemics play: Exploring the interplay between mobile devices and interiors. In DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference (pp. 177-181). Association for Computing Machinery. https://doi.org/10.1145/3301019.3323886

Lyle, P. J. & Kannabiran, G. (2019). Public Outcomes of Publicly Funded Socio-Technical Projects: Reflections on Empowerment, Participation, and Researcher Responsibility. In J. E. Fischer, S. Martindale, M. Porcheron, S. Reeves & J. Spence (Eds.), HTTF 2019: : Proceedings of the Halfway to the Future Symposium 2019 (2019 ed., pp. 1-3). [3363480] Association for Computing Machinery. https://doi.org/10.1145/3363384.3363480

Ateniese, G., Francati, D., Magri, B. & Venturi, D. (2019). Public immunization against complete subversion without random oracles. In R. H. Deng, V. Gauthier-Umanã, M. Ochoa & M. Yung (Eds.), Applied Cryptography and Network Security (pp. 465-485). Springer. Lecture Notes in Computer Science Vol. 11464 https://doi.org/10.1007/978-3-030-21568-2_23

Ciosici, M. R., Derczynski, L. & Assent, I. (2019). Quantifying the morphosyntactic content of Brown Clusters. In J. Burstein, C. Doran & T. Solorio (Eds.), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Vol. 1, pp. 1541-1550). Association for Computational Linguistics. https://aclweb.org/anthology/papers/N/N19/N19-1157/

Spiel, K., Walker, A. M., DeVito, M. A., Birnholtz, J., Barlas, P., Ahmed, A., Brubaker, J. R., Keyes, O., Brulé, E., Light, A., Hardy, J., Rode, J. A. & Kannabiran, G. (2019). Queer(ing) HCI: Moving forward in theory and practice. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [3311750] Association for Computing Machinery. Conference on Human Factors in Computing Systems - Proceedings https://doi.org/10.1145/3290607.3311750

Fauzi, P. M., Meiklejohn, S., Mercer, R. H. & Orlandi, C. (2019). Quisquis: A New Design for Anonymous Cryptocurrencies. In Advances in Cryptology – ASIACRYPT 2019 (pp. 649-678). Lecture Notes in Computer Science Vol. 11921 https://doi.org/10.1007/978-3-030-34578-5

Hogräfer, M. & Schulz, H-J. (2019). ReVize: A Library for Visualization Toolchaining with Vega-Lite. In Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference (pp. 129-139). Eurographics Association. https://doi.org/10.2312/stag.20191375

Kristensen, E. K. & Møller, A. (2019). Reasonably-Most-General Clients for JavaScript Library Analysis. Proceedings of the International Conference on Software Engineering. https://doi.org/10.1109/ICSE.2019.00026

Skorstengaard, L., Devriese, D. & Birkedal, L. (2019). Reasoning About a Machine with Local Capabilities: Provably Safe Stack and Return Pointer Management. A C M Transactions on Programming Languages and Systems, 41(4), [5]. https://doi.org/10.1145/3363519

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