Publikationer

Søg publikationer fra Institut for Datalogi

Liste over publikationer af videnskabelige medarbejdere fra Institut for Datalogi, Aarhus Universitet.

Annenkov, D., Botsch Nielsen, J. & Spitters, B. (2020). ConCert: A smart contract certification framework in Coq. I Proceedings of the 9th ACM SIGPLAN International Conference on Certified Programs and Proofs (CPP ’20), January 20-21, 2020, New Orleans, LA, USA (s. 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. I A. Kiayias, M. Kohlweiss, P. Wallden & V. Zikas (red.), Public-Key Cryptography – PKC 2020 - 23rd IACR International Conference on Practice and Theory of Public-Key Cryptography, Proceedings (Bind 1, s. 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. I S. Irani (red.), Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020 (s. 1069-1080). Artikel 9317926 IEEE. https://doi.org/10.1109/FOCS46700.2020.00103

Ganesh, C., Magri, B. & Venturi, D. (2020). Cryptographic reverse firewalls for interactive proof systems. I A. Czumaj, A. Dawar & E. Merelli (red.), 47th International Colloquium on Automata, Languages, and Programming, ICALP 2020 (s. 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. I CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (s. CS16 1-8). Artikel 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. I Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 (s. 738-746). Artikel 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. I NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: : Shaping Experiences, Shaping Society (s. 1-10). Artikel 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. I N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (red.), Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020 (s. 112-127). Association for Computing Machinery. https://doi.org/10.1145/3441000.3441070

Nielsen, B. B., Torp, M. T. & Møller, A. (2020). Detecting Locations in JavaScript Programs Affected by Breaking Library Changes. Proceedings of the ACM on Programming Languages , 4(OOPSLA), Artikel 187. https://doi.org/10.1145/3428255

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. I 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) (s. 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, Artikel 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 fra The 18th European Virtual Conference on
Computer-Supported Cooperative Work, Siegen, Tyskland. 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. I D. Micciancio & T. Ristenpart (red.), Advances in Cryptology - CRYPTO 2020 (s. 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. I C. Galdi & V. Kolesnikov (red.), Security and Cryptography for Networks (s. 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. I D. Micciancio & T. Ristenpart (red.), Advances in Cryptology - CRYPTO 2020 (s. 387-416). Springer. https://doi.org/10.1007/978-3-030-56880-1_14

Møller, A. & Veileborg, O. H. (2020). Eliminating abstraction overhead of Java stream pipelines using ahead-of-time program optimization. Proceedings of the ACM on Programming Languages , 4(OOPSLA), Artikel 168. https://doi.org/10.1145/3428236

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. I SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education (s. 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. I Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, VINCI 2020 Artikel 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. I ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering (s. 198-209). Artikel 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. I ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction (s. 184–193). Association for Computing Machinery. https://doi.org/10.1145/3382507.3418819

Logins, A., U, L. H. & Karras, P. (2020). Fair Cruising. Manuskript afsendt til publicering. I Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020

Tzavelis, N., Giannakopoulos, I., Johansen, R. Q., Doka, K., Koziris, N. & Karras, P. (2020). Fair Procedures for Fair Stable Marriage Outcomes. I AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (Bind 34, no. 5, s. 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. I D. Van Hung & O. Sokolsky (red.), Automated Technology for Verification and Analysis - 18th International Symposium, ATVA 2020, Proceedings (s. 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. Artikel 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. I C. Galdi & V. Kolesnikov (red.), Security and Cryptography for Networks (s. 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. I Proceedings of the ACM on Programming Languages (OOPSLA udg., Bind 4). Association for Computing Machinery. https://doi.org/10.1145/3428193

Christensen, H. B. (2020). Flexible, Reliable, Distributed Software 2nd Edition: Still using Patterns and Agile Development. LeanPub.com. https://leanpub.com/frds/

Thomsen, S. E. & Spitters, B. (2020). Formalizing Nakamoto-Style Proof of Stake.

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), Artikel 7. https://doi.org/10.1145/3371075

Christensen, H. B. (2020). FRDS.Broker Library: Release 2.0. Softwareprogram, mvnrepository.com. https://bintray.com/henrikbaerbak/maven/broker

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. I Proceedings of the ACM on Programming Languages (OOPSLA udg., Bind 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. I KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (s. 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. I Y. Huang, I. King, T.-Y. Liu & M. van Steen (red.), WWW '20: Proceedings of The Web Conference 2020 (s. 2549-2555). Association for Computing Machinery. https://doi.org/10.1145/3366423.3380005

Hvass, B. S., Aranha, D. F. & Spitters, B. (2020). High-assurance field inversion for pairing-friendly primes. Abstract fra The Coq Workshop 2020. https://coq-workshop.gitlab.io/2020/abstracts/Coq2020_04-02-primes.pdf

Hvass, B. S., Aranha, D. F. & Spitters, B. (2020). High-assurance field inversion for pairing-friendly primes. Abstract fra 2nd Workshop on Formal Methods for Blockchains. https://fmbc.gitlab.io/2020/files/FMBC2020.pdf

Aggarwal, D., Obremski, M., Ribeiro, J., Siniscalchi, L. & Visconti, I. (2020). How to extract useful randomness from unreliable sources. I A. Canteaut & Y. Ishai (red.), Advances in Cryptology – EUROCRYPT 2020 (s. 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. I D. Micciancio & T. Ristenpart (red.), Advances in Cryptology - CRYPTO 2020 (s. 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. I S. Moriai & H. Wang (red.), Advances in Cryptology – ASIACRYPT 2020 - 26th International Conference on the Theory and Application of Cryptology and Information Security, Proceedings (s. 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. I J. Bonneau & N. Heninger (red.), Financial Cryptography and Data Security: FC 2020 (s. 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. I N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (red.), Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020 (s. 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

Assent, I., Domeniconi, C., Gionis, A. & Hüllermeier, E. (2020). Introduction to the special issue of the ECML PKDD 2020 journal track. Machine Learning, 109(9-10), 1697-1698. https://doi.org/10.1007/s10994-020-05907-2

Jetter, H.-C., Rädle, R., Feuchtner, T., Anthes, C., Friedl, J. & Klokmose, C. N. (2020). “In VR, everything is possible!”: Sketching and Simulating Spatially-Aware Interactive Spaces in Virtual Reality. I CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Artikel 523 Association for Computing Machinery. https://doi.org/10.1145/3313831.3376652

Larsen-Ledet, I. & Borowski, M. (2020). "It Looks Like You Don't Agree": Idiosyncratic Needs and Practices in Collaborative Writing. I N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, L. Loke & M. Tomitsch (red.), OzCHI '20: 32nd Australian Conference on Human-Computer Interaction (s. 339-354). Association for Computing Machinery. https://doi.org/10.1145/3441000.3441032

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