Publikationer

Søg publikationer fra Institut for Datalogi

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

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Caragiannis, I., Filos-Ratsikas, A., Frederiksen, S. K. S., Hansen, K. A. & Tan, Z. (2024). Truthful facility assignment with resource augmentation: an exact analysis of serial dictatorship. Mathematical Programming, 203(1-2), 901-930. https://doi.org/10.1007/S10107-022-01902-8

Caragiannis, I. & Homrighausen, S. (2024). Estimating the Expected Social Welfare and Cost of Random Serial Dictatorship. I G. Schäfer & C. Ventre (red.), Algorithmic Game Theory - 17th International Symposium, SAGT 2024, Proceedings (s. 184–201). Springer. https://doi.org/10.1007/978-3-031-71033-9_11

Caragiannis, I., Filos-Ratsikas, A., Nath, S. & Voudouris, A. (2024). Truthful ownership transfer with expert advice. Mathematical Programming, 203(1-2), 871-900. https://doi.org/10.1007/s10107-022-01834-3

Caragiannis, I. & Rathi, N. (2024). Optimizing Over Serial Dictatorships. Theory of Computing Systems, 68(5), 1180-1206. https://doi.org/10.1007/s00224-024-10196-6

Caragiannis, I., Micha, E. & Peters, J. (2024). Can a Few Decide for Many? The Metric Distortion of Sortition. I R. Salakhutdinov, Z. Kolter & K. Heller (red.), Proceedings of the 41st International Conference on Machine Learning (ICML) (Bind 235, s. 5660-5679). Artikel 220 JMLR.org.

Caragiannis, I. & Kalantzis, G. (2024). Randomized learning-augmented auctions with revenue guarantees. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI) (s. 2687-2694). International Joint Conferences on Artificial Intelligence.

Caragiannis, I., Micha, E. & Shah, N. (2022). A Little Charity Guarantees Fair Connected Graph Partitioning. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 4908-4916. https://doi.org/10.1609/aaai.v36i5.20420

Caragiannis, I., Shah, N. & Voudouris, A. A. (2022). The Metric Distortion of Multiwinner Voting. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 4900-4907. https://doi.org/10.1609/aaai.v36i5.20419

Caragiannis, I., Christodoulou, G. & Protopapas, N. (2022). Truthful Aggregation of Budget Proposals with Proportionality Guarantees. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 4917-4924. https://doi.org/10.1609/aaai.v36i5.20421

Caragiannis, I. & Fehrs, K. (2022). The Complexity of Learning Approval-Based Multiwinner Voting Rules. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 4925-4932. https://doi.org/10.1609/aaai.v36i5.20422

Caragiannis, I., Mehlhorn, K. & Rathi, N. (2025). Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity. Proceedings of the AAAI Conference on Artificial Intelligence, 39(13), 13675-13682. https://doi.org/10.1609/aaai.v39i13.33494

Caprani, O. (2015). Mangfoldige læringsaktiviteter: ét robotbyggesæt. Læring og Medier, 8(14), 1-22. http://ojs.statsbiblioteket.dk/index.php/lom/article/view/22074/20129

Caprani, O. & Musaeus, L. H. (2020). Computationel tankegang i teknologiforståelsesfaget. Unge Pædagoger, (1), 36-47. https://u-p.dk/vare/2020-nr-1/

Caprani, O., Petrat-Mehlin, S., Juncher, K. & Thestrup, K. (2021). Livet under skraldeøen: en praksisfortælling fra 3. klasse Mårslet Skole, 2021. Interaktiv produktion http://kortlink.dk/2avgx

Caprani, O., Petrat-Mehlin, S., Juncher, K. & Thestrup, K. (2021). MGP i 2.a, Mårslet Skole: En teknologi-leg. Interaktiv produktion https://lnkd.in/e8-ASAR

Cao, X., Cong, G., Jensen, C. S. & Ooi, B. C. (2011). Collective spatial keyword querying. I Proceedings of the 2011 international conference on Management of data (s. 373-384). Association for Computing Machinery. https://doi.org/10.1145/1989323.1989363

Cao, X., Cong, G., Cui, B., Jensen, C. S. & Yuan, Q. (2012). Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives. A C M Transactions on Information Systems, 30(2), Article No. 7 . https://doi.org/10.1145/2180868.2180869

Cao, X., Chen, L., Cong, G., Jensen, C. S., Qu, Q., Skovsgaard, A., Wu, D. & Yiu, M. L. (2012). Spatial Keyword Querying: Invited Paper. Lecture Notes in Computer Science, 7532, 16-29 . https://doi.org/10.1007/978-3-642-34002-4_2

Cao, X., Cong, G., Jensen, C. S., NG, J. J., Ooi, B. C., Phan, N.-T. & Wu, D. (2012). SWORS: a system for the efficient retrieval of relevant spatial web objects. Proceedings of the VLDB Endowment, 5(12), 1914-1917. http://dl.acm.org/citation.cfm?id=2367536

Canetti, R., Kolby, S., Ravi, D., Soria Vazquez, E. & Yakoubov, S. (2023). Taming Adaptivity in YOSO Protocols: The Modular Way. I G. Rothblum & H. Wee (red.), Theory of Cryptography: 21st International Conference, TCC 2023, Taipei, Taiwan, November 29 – December 2, 2023, Proceedings, Part II (Bind 2, s. 33-62). Springer. https://doi.org/10.1007/978-3-031-48618-0_2

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenková, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30(4), 891-927. https://doi.org/10.1007/s10618-015-0444-8

Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B., Micenkova, B., Schubert, E., Assent, I. & Houle, M. E. (2016). On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. I R. Krestel, D. Mottin & E. Müller (red.), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (Bind 1670, s. 1). ceur workshop proceedings. http://ceur-ws.org/Vol-1670/paper-55.pdf

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

Campanelli, M. & Khoshakhlagh, H. (2021). Succinct Publicly-Certifiable Proofs: Or, Can a Blockchain Verify a Designated-Verifier Proof? I A. Adhikari, R. Küsters & B. Preneel (red.), Progress in Cryptology – INDOCRYPT 2021 - 22nd International Conference on Cryptology in India, 2021, Proceedings: 22nd International Conference on Cryptology in India, Jaipur, India, December 12-15, 2021, Proceedings (s. 607-631). Springer. https://doi.org/10.1007/978-3-030-92518-5_27

Campanelli, M., Faonio, A., Fiore, D., Querol, A. & Rodríguez, H. (2021). Lunar: A Toolbox for More Efficient Universal and Updatable zkSNARKs and Commit-and-Prove Extensions. I M. Tibouchi & H. Wang (red.), Advances in Cryptology – ASIACRYPT 2021: 27th International Conference on the Theory and Application of Cryptology and Information Security, Singapore, December 6–10, 2021, Proceedings, Part III (s. 3-33). Springer. https://doi.org/10.1007/978-3-030-92078-4_1

Campanelli, M. & Hall-Andersen, M. (2022). Veksel: Simple, Efficient, Anonymous Payments with Large Anonymity Sets fromWell-Studied Assumptions. I ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security (s. 652-666). Association for Computing Machinery. https://doi.org/10.1145/3488932.3517424

Campanelli, M., Engelmann, F. & Orlandi, C. (2022). Zero-Knowledge for Homomorphic Key-Value Commitments with Applications to Privacy-Preserving Ledgers. I C. Galdi & S. Jarecki (red.), Security and Cryptography for Networks (s. 761-784). Springer. https://doi.org/10.1007/978-3-031-14791-3_33

Campanelli, M., Hall-Andersen, M. N. & Kamp, S. H. (2023). Curve Trees: Practical and Transparent Zero-Knowledge Accumulators. I J. Calandrino & C. Troncoso (red.), SEC '23: Proceedings of the 32nd USENIX Conference on Security Symposium (s. 4391–4408). Artikel 246 Association for Computing Machinery. https://doi.org/10.5555/3620237.3620483

Campanelli, M., Francati, D. & Orlandi, C. (2023). Structure-Preserving Compilers from New Notions of Obfuscations. I A. Boldyreva & V. Kolesnikov (red.), Public-Key Cryptography – PKC 2023: 26th IACR International Conference on Practice and Theory of Public-Key Cryptography, Atlanta, GA, USA, May 7–10, 2023, Proceedings, Part II (s. 663-693). Springer. https://doi.org/10.1007/978-3-031-31371-4_23

Campanelli, M., Gennaro, R., Melissaris, K. G. & Nizzardo, L. (2023). Witness-Authenticated Key Exchange Revisited: Improved Models, Simpler Constructions, Extensions to Groups. I F. Baldimtsi & C. Cachin (red.), Financial Cryptography and Data Security: 27th International Conference, FC 2023, Bol, Brač, Croatia, May 1–5, 2023, Revised Selected Papers, Part I (1 udg., Bind 13950, s. 112). Artikel 7 Springer, Cham. https://doi.org/10.1007/978-3-031-47754-6_7

Caltais, G., Hojjat, H., Mousavi, M. R. & Tunç, H. C. (2022). DyNetKAT: An Algebra of Dynamic Networks. I P. Bouyer & L. Schröder (red.), Foundations of Software Science and Computation Structures - 25th International Conference, FOSSACS 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings (s. 184-204). Springer. https://doi.org/10.1007/978-3-030-99253-8_10

Butcher, P. W. S., Batch, A., Saffo, D., Macintyre, B., Elmqvist, N. & Ritsos, P. D. (2024). Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms. IEEE Computer Graphics and Applications, 44(3), 91-98. https://doi.org/10.1109/MCG.2024.3367422

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

Büscher, M., Liegl, M. & Thomas, V. (2014). Collective Intelligence in Crises. I D. Miorandi, V. Maltese, M. Rovatsos, A. Nijholt & J. Stewart (red.), Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society (s. 243-265). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-08681-1_12

Bury, M. & Schwiegelshohn, C. (2017). On finding the Jaccard center. I A. Muscholl, P. Indyk, F. Kuhn & I. Chatzigiannakis (red.), 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017 Artikel 23 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ICALP.2017.23

Burra, S. S., Larraia, E., Nielsen, J. B., Nordholt, P. S., Orlandi, C., Orsini, E., Scholl, P. & Smart, N. P. (2015). High Performance Multi-Party Computation for Binary Circuits Based on Oblivious Transfer. http://eprint.iacr.org/2015/472

Burra, S. S., Larraia, E., Nielsen, J. B., Nordholt, P. S., Orlandi, C., Orsini, E., Scholl, P. & Smart, N. P. (2021). High-Performance Multi-party Computation for Binary Circuits Based on Oblivious Transfer. Journal of Cryptology, 34(3), Artikel 34. https://doi.org/10.1007/s00145-021-09403-1

Burkhardt, J., Damgård, I., Frederiksen, T. K., Orlandi, C. & Ghosh, S. (2021). 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

Burkhardt, J., Caragiannis, I., Fehrs, K., Russo, M., Schwiegelshohn, C. & Shyam, S. (2024). Low-Distortion Clustering with Ordinal and Limited Cardinal Information. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 9555-9563. https://doi.org/10.1609/aaai.v38i9.28811

Bulánek, J., Koucky, M. & Saks, M. (2012). Tight lower bounds for the online labeling problem. I Proceedings of the 2012 ACM Symposium on Theory of Computing, STOC’12 (s. 1185-1198). Association for Computing Machinery. https://doi.org/10.1145/2213977.2214083

Bui-Ngoc, T., Ly, D. K., Truong, T. T., Thongchom, C. & Nguyen-Thoi, T. (2024). A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements. Frontiers of Structural and Civil Engineering, 18(3), 393-410. https://doi.org/10.1007/s11709-024-1060-8

Bui, T. L., Chatterjee, K., Gautam, T., Pavlogiannis, A. & Toman, V. (2021). The reads-from equivalence for the TSO and PSO memory models. Proceedings of the ACM on Programming Languages , 5(OOPSLA), Artikel 164. https://doi.org/10.1145/3485541

Bui, D., Couteau, G., Meyer, P., Passelègue, A. & Riahinia, M. (2024). Fast Public-Key Silent OT and More from Constrained Naor-Reingold. I M. Joye & G. Leander (red.), Advances in Cryptology – EUROCRYPT 2024 (s. 88-118). Springer. https://doi.org/10.1007/978-3-031-58751-1_4

Buemann, B., Schierning, B., Toubro, S., Bibby, B. M., Sørensen, T., Dalgaard, L., Pedersen, O. & Astrup, A. (2001). The association between the val/ala-55 polymorphism of the uncoupling protein 2 gene and exercise efficiency. International Journal of Obesity, 25(4), 467-471. https://doi.org/10.1038/sj.ijo.0801564

Buch, J., Etches, A., Nielsen, K., Musaeus, L. H. & Hjorth, H. A. (2019). Computational Thinking i Matematik og Naturvidenskab: Evaluering af kursusforløbet efter det første gennemløb 2018-2019. Rapport udarbejdet for Danske Science Gymnasier (DASG) af Center for Computational Thinking & Design, Aarhus Universitet. https://science-gym.dk/evaluer/CTiMNAT-evaluering-20182019.pdf

Bucarelli, M. S., Larsen, M. F., Schwiegelshohn, C. & Toftrup, M. B. (2023). On Generalization Bounds for Projective Clustering.

Bucarelli, M. S., Larsen, M. F., Schwiegelshohn, C. & Toftrup, M. B. (2023). On Generalization Bounds for Projective Clustering. I Advances in Neural Information Processing Systems https://papers.nips.cc/paper_files/paper/2023/hash/e30bf4765ae6b16a87fb4d7b0b3b3dec-Abstract-Conference.html

Brzuska, C., Couteau, G., Egger, C., Karanko, P. & Meyer, P. E. (2024). Instantiating the Hash-Then-Evaluate Paradigm: Strengthening PRFs, PCFs, and OPRFs. I C. Galdi & D. Hieu Phan (red.), Security and Cryptography for Networks (s. 97–116). Springer Nature. https://eprint.iacr.org/2023/1145

Brynskov, M., Bermúdez, J. C. C., Fernández, M., Korsgaard, H., Mulder, I., Piskorek, K., Rekow, L. & de Waal, M. (2014). Urban Interaction Design: Towards City Making. Urban IxD Booksprint. http://static1.squarespace.com/static/50f5c859e4b083caad2ed6a0/t/5395d6a5e4b0fc0456d8d5a3/1402328741769/UrbanIxD_towardsCityMaking.pdf

Brueggemann, M. J., Strohmayer, A., Marshall, M., Birbeck, N. & Thomas, V. (2017). Reflexive Practices for the Future of Design Education: An Exercise in Ethno-Empathy. Information Design Journal, 20(sup1), S1260-S1269. https://doi.org/10.1080/14606925.2017.1352655

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