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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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Lyle, P. J. & Korsgaard, H. (2020). Community Values and Technological Mechanisms: Learning from The Amish?. 5. Paper presented at Studying Technical Mechanisms for Supporting Sharing Communities, Siegen, Germany.
Annenkov, D., Botsch Nielsen, J. & Spitters, B. (2020). ConCert: A smart contract certification framework in Coq. In Proceedings of the 9th ACM SIGPLAN International Conference on Certified Programs and Proofs (CPP ’20), January 20-21, 2020, New Orleans, LA, USA (pp. 215-228). Association for Computing Machinery. https://doi.org/10.1145/3372885.3373829
Baum, C. & Nof, A. (2020). Concretely-Efficient Zero-Knowledge Arguments for Arithmetic Circuits and Their Application to Lattice-Based Cryptography. In A. Kiayias, M. Kohlweiss, P. Wallden & V. Zikas (Eds.), Public-Key Cryptography – PKC 2020 - 23rd IACR International Conference on Practice and Theory of Public-Key Cryptography, Proceedings (Vol. 1, pp. 495-526). Springer. https://doi.org/10.1007/978-3-030-45374-9_17
Faust, S., Mukherjee, P., Nielsen, J. B. & Venturi, D. (2020). Continuously Non-malleable Codes in the Split-State Model. Journal of Cryptology, 33(4), 2034-2077. https://doi.org/10.1007/s00145-020-09362-z
Boyle, E., Couteau, G., Gilboa, N., Ishai, Y., Kohl, L. & Scholl, P. (2020). Correlated Pseudorandom Functions from Variable-Density LPN. In S. Irani (Ed.), Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020 (pp. 1069-1080). Article 9317926 IEEE. https://doi.org/10.1109/FOCS46700.2020.00103
Ganesh, C., Magri, B. & Venturi, D. (2020). Cryptographic reverse firewalls for interactive proof systems. In A. Czumaj, A. Dawar & E. Merelli (Eds.), 47th International Colloquium on Automata, Languages, and Programming, ICALP 2020 (pp. 55:1-55:16). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2020.55
Bizjak, A. & Møgelberg, R. E. (2020). Denotational semantics for guarded dependent type theory. Mathematical Structures in Computer Science, 30(4), 342-378. https://doi.org/10.1017/S0960129520000080
Winther, F., Ravindran, L., Svendsen, K. P. & Feuchtner, T. (2020). Design and Evaluation of a VR Training Simulation for Pump Maintenance. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. CS16 1-8). Article 3375213 Association for Computing Machinery. https://doi.org/10.1145/3334480.3375213
Winther, F., Ravindran, L., Svendsen, K. P. & Feuchtner, T. (2020). Design and Evaluation of a VR Training Simulation for Pump Maintenance Based on a Use Case at Grundfos. In Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 (pp. 738-746). Article 9089646 IEEE. https://doi.org/10.1109/VR46266.2020.1580939036664
Victor Kobbelgaard, F., Bødker, S. & Kanstrup, A. M. (2020). Designing a game to explore human artefact ecologies for assistive robotics: Basing design games on an activity theoretical framework. In NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: : Shaping Experiences, Shaping Society (pp. 1-10). Article 27 Elsevier. https://doi.org/10.1145/3419249.3420181
Olin, P. A., Issa, A. M., Feuchtner, T. & Grønbæk, K. (2020). Designing for Heterogeneous Cross-Device Collaboration and Social Interaction in Virtual Reality. In N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (Eds.), Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020 (pp. 112-127). Association for Computing Machinery. https://doi.org/10.1145/3441000.3441070
Schaefer, Z., Haab, L., Schwerdtfeger, K., Takahashi, K. & Strauss, D. J. (2020). Detection of information flow between cortical laminae activities and auditory evoked potentials in rats by means of Granger causality. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 876-879). IEEE. https://doi.org/10.1109/EMBC44109.2020.9176719
Kavvos, G. A. (2020). Dual-context calculi for modal logic. Logical Methods in Computer Science, 16(3), 10:1-10:66. https://doi.org/10.23638/LMCS-16(3:10)2020
Schivo, S., Khurana, S., Govindaraj, K., Scholma, J., Kerkhofs, J., Zhong, L., Huang, X., van de Pol, J., Langerak, R., van Wijnen, A. J., Geris, L., Karperien, M. & Post, J. N. (2020). ECHO, the executable CHOndrocyte: A computational model to study articular chondrocytes in health and disease. Cellular Signalling, 68, Article 109471. https://doi.org/10.1016/j.cellsig.2019.109471
Korsgaard, H., Lewkowicz, M., Boden, A., Bødker, S. & Avram, G. (2020). ECSCW Workshop: Studying Technical Mechanisms for Supporting Sharing Communities. Abstract from The 18th European Virtual Conference on
Computer-Supported Cooperative Work, Siegen, Germany. https://cio.cs.au.dk/ecscw-workshop/pdfs/eCSCW_workshop__Technical_Mechanisms_for_supporting_sharing_communities.pdf
Birkedal, L. (2020). Editorial message. Proceedings of the ACM on Programming Languages , 4(POPL).
Baum, C., Orsini, E., Scholl, P. & Soria-Vazquez, E. (2020). Efficient constant-round mpc with identifiable abort and public verifiability. In D. Micciancio & T. Ristenpart (Eds.), Advances in Cryptology - CRYPTO 2020 (pp. 562-592). Springer. https://doi.org/10.1007/978-3-030-56880-1_20
Baum, C., Escudero, D., Pedrouzo-Ulloa, A., Scholl, P. & Troncoso-Pastoriza, J. R. (2020). Efficient protocols for oblivious linear function evaluation from ring-LWE. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 130-149). Springer. https://doi.org/10.1007/978-3-030-57990-6_7
Boyle, E., Couteau, G., Gilboa, N., Ishai, Y., Kohl, L. & Scholl, P. (2020). Efficient pseudorandom correlation generators from ring-lpn. In D. Micciancio & T. Ristenpart (Eds.), Advances in Cryptology - CRYPTO 2020 (pp. 387-416). Springer. https://doi.org/10.1007/978-3-030-56880-1_14
Borowski, M., Zagermann, J., Klokmose, C. N., Reiterer, H. & Rädle, R. (2020). Exploring the Benefits and Barriers of Using Computational Notebooks for Collaborative Programming Assignments. In SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 468–474). Association for Computing Machinery. https://doi.org/10.1145/3328778.3366887
Han, W. & Schulz, H.-J. (2020). Exploring Vibrotactile Cues for Interactive Guidance in Data Visualization. In Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, VINCI 2020 Article 3430042 Association for Computing Machinery. https://doi.org/10.1145/3430036.3430042
Staicu, C. A., Torp, M. T., Schafer, M., Møller, A. & Pradel, M. (2020). Extracting Taint Specifications for JavaScript Libraries. In ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering (pp. 198-209). Article 3380390 Association for Computing Machinery. https://doi.org/10.1145/3377811.3380390
van Oosterhout, A., Bruns, M. & Hoggan, E. (2020). Facilitating Flexible Force Feedback Design with Feelix. In ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction (pp. 184–193). Association for Computing Machinery. https://doi.org/10.1145/3382507.3418819
Tzavelis, N., Giannakopoulos, I., Johansen, R. Q., Doka, K., Koziris, N. & Karras, P. (2020). Fair Procedures for Fair Stable Marriage Outcomes. In AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (Vol. 34, no. 5, pp. 7269-7276). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6218
Asadi, A., Chatterjee, K., Goharshady, A. K., Mohammadi, K. & Pavlogiannis, A. (2020). Faster Algorithms for Quantitative Analysis of MCs and MDPs with Small Treewidth. In D. Van Hung & O. Sokolsky (Eds.), Automated Technology for Verification and Analysis - 18th International Symposium, ATVA 2020, Proceedings (pp. 253-270). Springer. https://doi.org/10.1007/978-3-030-59152-6_14
Pavlogiannis, A. (2020). Fast, Sound, and Effectively Complete Dynamic Race Prediction. Proceedings of the ACM on Programming Languages , 4(POPL), 1-29. Article 17. https://doi.org/10.1145/3371085
Damgård, I., Jakobsen, T. P., Nielsen, J. B., Pagter, J. I. & Østergaard, M. B. (2020). Fast threshold ECDSA with honest majority. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 382-400). Springer. https://doi.org/10.1007/978-3-030-57990-6_19
Madsen, M. & Lhoták, O. (2020). Fixpoints for the masses: programming with first-class Datalog constraints. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428193
Barthe, G., Blazy, S., Grégoire, B., Hutin, R., Laporte, V., Pichardie, D. & Trieu, A. (2020). Formal Verification of a Constant-Time Preserving C Compiler. Proceedings of the ACM on Programming Languages , 4(POPL), Article 7. https://doi.org/10.1145/3371075
Brodal, G. S., Sioutas, S., Tsakalidis, K. & Tsichlas, K. (2020). Fully persistent B-trees. Theoretical Computer Science, 841, 10-26. https://doi.org/10.1016/j.tcs.2020.06.027
Stiévenart, Q. & Madsen, M. (2020). Fuzzing channel-based concurrency runtimes using types and effects. In Proceedings of the ACM on Programming Languages (OOPSLA ed., Vol. 4). Association for Computing Machinery. https://doi.org/10.1145/3428254
Zhang, K., Zhou, J., Tao, D., Karras, P., Li, Q. & Xiong, H. (2020). Geodemographic Influence Maximization. In KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2764-2774). Association for Computing Machinery. https://doi.org/10.1145/3394486.3403327
Lissandrini, M., Mottin, D., Palpanas, T. & Velegrakis, Y. (2020). Graph-Query Suggestions for Knowledge Graph Exploration. In Y. Huang, I. King, T.-Y. Liu & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020 (pp. 2549-2555). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380005
Aggarwal, D., Obremski, M., Ribeiro, J., Siniscalchi, L. & Visconti, I. (2020). How to extract useful randomness from unreliable sources. In A. Canteaut & Y. Ishai (Eds.), Advances in Cryptology – EUROCRYPT 2020 (pp. 343-372). Springer. https://doi.org/10.1007/978-3-030-45721-1_13
Escudero, D., Ghosh, S., Keller, M., Rachuri, R. & Scholl, P. (2020). Improved primitives for mpc over mixed arithmetic-binary circuits. In D. Micciancio & T. Ristenpart (Eds.), Advances in Cryptology - CRYPTO 2020 (pp. 823-852). Springer. https://doi.org/10.1007/978-3-030-56880-1_29
Campanelli, M., Fiore, D., Greco, N., Kolonelos, D. & Nizzardo, L. (2020). Incrementally Aggregatable Vector Commitments and Applications to Verifiable Decentralized Storage. In S. Moriai & H. Wang (Eds.), Advances in Cryptology – ASIACRYPT 2020 - 26th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings (pp. 3-35). Springer. https://doi.org/10.1007/978-3-030-64834-3_1
Sciannamblo, M., Teli, M., Lyle, P. J. & Csíkszentmihályi, C. (2020). Infrastructuring the commons today, when STS meets ICT. Journal of Peer Production, (14).
Baum, C., David, B. & Dowsley, R. (2020). Insured MPC: Efficient Secure Computation with Financial Penalties. In J. Bonneau & N. Heninger (Eds.), Financial Cryptography and Data Security: FC 2020 (pp. 404-420). Springer. https://doi.org/10.1007/978-3-030-51280-4_22
Avdic, M. & Vermeulen, J. (2020). Intelligibility Issues Faced by Smart Speaker Enthusiasts in Understanding What Their Devices Do and Why. In N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (Eds.), Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020 (pp. 314-328). Association for Computing Machinery. https://doi.org/10.1145/3441000.3441068
Assent, I., Domeniconi, C., Gionis, A. & Hüllermeier, E. (2020). Introduction to the special issue of the ECML PKDD 2020 journal track. Data Mining and Knowledge Discovery, 34(5), 1235-1236. https://doi.org/10.1007/s10618-020-00713-9