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Søg publikationer fra Institut for Datalogi

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

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Zhu, Y., Honnet, C., Kang, Y., Zhu, J., Zheng, A. J., Heinz, K., Tang, G., Musk, L., Wessely, M. & Mueller, S. (2023). Demonstration of ChromoCloth: Re-Programmable Multi-Color Textures through Flexible and Portable Light Source. I UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology Artikel 73 Association for Computing Machinery. https://doi.org/10.1145/3586182.3615811
Ko, D., Kim, Y., Zhu, J., Wessely, M. & Mueller, S. (2023). Demonstration of FlexBoard: A Flexible Breadboard Platform for Interaction Prototyping on Curved and Deformable Objects. I CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems Artikel 444 Association for Computing Machinery. https://doi.org/10.1145/3544549.3583915
Jacobs, J., Hinrichsen, J. K. & Krebbers, R. (2023). Dependent Session Protocols in Separation Logic from First Principles (Functional Pearl). Proceedings of the ACM on Programming Languages , 7(ICFP), 768-795. Artikel 214. https://doi.org/10.1145/3607856
Georges, A. L. (2023). Designing and Proving Robust Safety of Efficient Capability Machine Programs. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Van Oosterhout, A., Bruns, M. & Hoggan, E. (2023). Designing for Haptic and Embodied Interaction with Feelix. I TEI '23: Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction Artikel 66 Association for Computing Machinery. https://doi.org/10.1145/3569009.3571842
Cohen-Addad, V., Saulpic, D. & Schwiegelshohn, C. (2023). Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation. I 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS) (s. 1105-1130). IEEE. https://doi.org/10.1109/FOCS57990.2023.00066
Larsen, K. G., Obremski, M. & Simkin, M. (2023). Distributed Shuffling in Adversarial Environments. I K.-M. Chung (red.), 4th Conference on Information-Theoretic Cryptography, ITC 2023 Artikel 10 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ITC.2023.10
Butcher, P. W. S., Batch, A., Ritsos, P. D. & Elmqvist, N. (2023). Don't Pull the Balrog - Lessons Learned from Designing Wizualization: a Magic-inspired Data Analytics System in XR. I G. Bruder, A.-H. Olivier, A. Cunningham, E. Y. Peng, J. Grubert & I. Williams (red.), Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 (s. 234-237). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00054
Green, M., Hall-Andersen, M. N., Hennenfent, E., Kaptchuk, G., Perez, B. & Van Laer, G. (2023). Efficient Proofs of Software Exploitability for Real-world Processors. Proceedings on Privacy Enhancing Technologies, 2023(1), 627-640. https://doi.org/10.56553/popets-2023-0036
Jørgensen, J. R. & Assent, I. (2023). EGG-SynC: Exact GPU-parallelized Grid-based Clustering by Synchronization. I Proceedings 26th International Conference on Extending Database Technology ( EDBT 2023 ) (s. 195-207). openproceedings.org. https://doi.org/10.48786/edbt.2023.16
Boudgoust, K., Jeudy, C., Roux-Langlois, A. & Wen, W. (2023). Entropic Hardness of Module-LWE from Module-NTRU. I T. Isobe & S. Sarkar (red.), Progress in Cryptology – INDOCRYPT 2022: 23rd International Conference on Cryptology in India, Kolkata, India, December 11–14, 2022, Proceedings (s. 78-99). Springer. https://doi.org/10.1007/978-3-031-22912-1_4
Brodal, G. S., Rysgaard, C. M. & Svenning, R. (2023). External Memory Fully Persistent Search Trees. I B. Saha & R. A. Servedio (red.), STOC 2023 - Proceedings of the 55th Annual ACM Symposium on Theory of Computing (s. 1410-1423). Association for Computing Machinery. https://doi.org/10.1145/3564246.3585140
Koutra, D., Mottin, D. & Zhu, J. (2023). Fact summarization for personalized knowledge graphs. I Personal Knowledge Graphs (PKGs): Methodology, tools and applications (s. 239-254). Institution of Engineering and Technology. https://doi.org/10.1049/PBPC063E_ch10
Chiang, J. H. Y., David, B., Eyal, I. & Gong, T. (2023). FairPoS: Input Fairness in Permissionless Consensus. I J. Bonneau & S. M. Weinberg (red.), 5th Conference on Advances in Financial Technologies, AFT 2023 Artikel 10 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.AFT.2023.10
Madsen, M., Van De Pol, J. & Henriksen, T. (2023). Fast and Efficient Boolean Unification for Hindley-Milner-Style Type and Effect Systems. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), 516–543. Artikel 240. https://doi.org/10.1145/3622816
Larsen, K. G. (2023). Fast Discrepancy Minimization with Hereditary Guarantees. I N. Bansal & V. Nagarajan (red.), Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (s. 276-289). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977554.ch11
Aranha, D. F., Hvass, B. S., Spitters, B. & Tibouchi, M. (2023). Faster constant-time evaluation of the Kronecker symbol with application to elliptic curve hashing. I CCS'23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (s. 3228-3238). Association for Computing Machinery. https://doi.org/10.1145/3576915.3616597
Haselwarter, P. G. & Bauer, A. (2023). Finitary Type Theories With and Without Contexts. Journal of Automated Reasoning, 67(4), Artikel 36. https://doi.org/10.1007/s10817-023-09678-y
Schwiegelshohn, C. (2023). Fitting Data on a Grain of Rice. I I. Chatzigiannakis & I. Karydis (red.), Algorithmic Aspects of Cloud Computing: 8th International Symposium, ALGOCLOUD 2023, Amsterdam, The Netherlands, September 5, 2023, Revised Selected Papers (s. 1-8). Springer. https://doi.org/10.1007/978-3-031-49361-4_13
Ko, D., Kim, Y., Zhu, J., Wessely, M. & Mueller, S. (2023). FlexBoard: A Flexible Breadboard for Interaction Prototyping on Curved and Deformable Surfaces. I CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Artikel 733 Association for Computing Machinery. https://doi.org/10.1145/3544548.3580748
Nielsen, E. H., Annenkov, D. & Spitters, B. (2023). Formalising Decentralised Exchanges in Coq. I R. Krebbers, D. Traytel, B. Pientka & S. Zdancewic (red.), CPP '23: 12th ACM SIGPLAN International Conference on Certified Programs and Proofs (s. 290-302). Association for Computing Machinery. https://doi.org/10.1145/3573105.3575685
Hvass, B. S. (2023). Foundational Verification of Cryptographic Primitives. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Müller, M., Schuster, P., Starup, J. L., Ostermann, K. & Brachthäuser, J. I. (2023). From Capabilities to Regions: Enabling Efficient Compilation of Lexical Effect Handlers. Proceedings of the ACM on Programming Languages , 7(OOPSLA2), Artikel 255. https://doi.org/10.1145/3622831
Brodal, G. S. & Wild, S. (2023). Funnelselect: Cache-Oblivious Multiple Selection. I I. Li Gortz, M. Farach-Colton, S. J. Puglisi & G. Herman (red.), 31st Annual European Symposium on Algorithms, ESA 2023 (s. 25:1-25:17). Artikel 25 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2023.25
Braun, L., Huppert, M., Khayata, N., Schneider, T. & Tkachenko, O. (2023). FUSE - Flexible File Format and Intermediate Representation for Secure Multi-Party Computation. I J. Liu, Y. Xiang, S. Nepal & G. Tsudik (red.), ASIA CCS 2023 - Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security (s. 649-663). Association for Computing Machinery. https://doi.org/10.1145/3579856.3590340
Hu Fleischhauer, Y., Surale, H. B., Alt, F. & Pfeuffer, K. (2023). Gaze-based Mode-Switching to Enhance Interaction with Menus on Tablets. I S. N. Spencer (red.), Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (s. 1-8). Artikel 7 Association for Computing Machinery. https://doi.org/10.1145/3588015.3588409
Sidenmark, L., Lystbæk, M. N. & Gellersen, H. (2023). GE-Simulator: An Open-Source Tool for Simulating Real-Time Errors for HMD-based Eye Trackers. I S. N. Spencer (red.), Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (s. 1-6). Artikel 8 Association for Computing Machinery. https://doi.org/10.1145/3588015.3588417
Schäfer, Z., Mathisen, A., Thomsen, T. R., Rossing, P. & Kirketerp-Møller, K. (2023). Glucagon-like peptide-1 treatment reduces the risk of diabetes-type 2 related amputations: A cohort study in Denmark. Diabetes Research and Clinical Practice, 202, Artikel 110799. https://doi.org/10.1016/j.diabres.2023.110799
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., Bronstein, A. M., Mottin, D. & Karras, P. (2023). GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Transactions on Knowledge Discovery from Data, 17(4), 1-26. Artikel 50. https://doi.org/10.1145/3561058
Barman, S., Khan, A., Shyam, S. & Sreenivas, K. V. N. (2023). Guaranteeing Envy-Freeness under Generalized Assignment Constraints. EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation, 242-269. https://doi.org/10.1145/3580507.3597698
Blundo, C., Cimato, S. & Siniscalchi, L. (2023). Heuristics for constrained role mining in the post-processing framework. Journal of Ambient Intelligence and Humanized Computing, 14(8), 9925-9937. https://doi.org/10.1007/s12652-021-03648-1
Gregersen, S. O. (2023). Higher-Order Separation Logic for Distributed Systems and Security. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Yamasaki, S., Sasaki, Y., Karras, P. & Onizuka, M. (2023). Holistic Prediction on a Time-Evolving Attributed Graph. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 61(1), 13676-13694. https://doi.org/10.18653/v1/2023.acl-long.765
Kohlweiss, M., Pancholi, M. R. & Takahashi, A. (2023). How to Compile Polynomial IOP into Simulation-Extractable SNARKs: A Modular Approach. I G. Rothblum & H. Wee (red.), Theory of Cryptography: Book Subtitle 21st International Conference, TCC 2023, Taipei, Taiwan, November 29–December 2, 2023, Proceedings, Part III (s. 486–512). Springer. https://doi.org/10.1007/978-3-031-48621-0_17
Fleischhacker, N., Larsen, K. G. & Simkin, M. (2023). How to Compress Encrypted Data. I C. Hazay & M. Stam (red.), Advances in Cryptology – EUROCRYPT 2023: 42nd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Lyon, France, April 23-27, 2023, Proceedings, Part I (s. 551-577). Springer. https://doi.org/10.1007/978-3-031-30545-0_19
Abdrabou, Y., Mecke, L., Rivu, R., Prange, S., Nguyen, Q. D., Voigt, V., Alt, F. & Pfeuffer, K. (2023). How Unique do we Move? Understanding the Human Body and Context Factors for User Identification. I M. Stolze, F. Loch, M. Baldauf, F. Alt, C. Schneegass, T. Kosch, T. Hirzle, S. Sadeghian, F. Draxler, K. Bektas, K. Lohan & P. Knierim (red.), Proceedings of Mensch Und Computer 2023 (s. 127-137). Association for Computing Machinery. https://doi.org/10.1145/3603555.3603574
Aranha, D. F. & Medwed, M. (2023). IACR Transactions on Cryptographic Hardware and Embedded Systems. Ruhr Universität Bochum. IACR Transactions of Cryptographic Hardware and Embedded Systems Bind 2023 Nr. 1-4 https://tches.iacr.org/index.php/TCHES/issue/view/312
Caragiannis, I., Christodoulou, G. & Protopapas, N. (2023). Impartial Selection with Prior Information. I Y. Ding, J. Tang, J. Sequeda, L. Aroyo, C. Castillo & G.-J. Houben (red.), WWW '23: Proceedings of the ACM Web Conference 2023 (s. 3614-3624). Association for Computing Machinery. https://doi.org/10.1145/3543507.3583553
Burkhardt, J., Damgård, I., Frederiksen, T. K., Orlandi, C. & Ghosh, S. (2023). Improved Distributed RSA Key Generation Using the Miller-Rabin Test. I W. Meng, C. D. Jensen, C. Cremers & E. Kirda (red.), CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (s. 2501-2515). Association for Computing Machinery. https://doi.org/10.1145/3576915.3623163
Wu, S., Hou U, L. & Karras, P. (2023). k-Best Egalitarian Stable Marriages for Task Assignment. Proceedings of the VLDB Endowment, 16(11), 3240-3252. https://doi.org/10.14778/3611479.3611522
Zhong, Z. & Mottin, D. (2023). Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. I KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (s. 5841-5842). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599563