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Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

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Khani, P., Moeinaddini, E., Abnavi, N. D. & Shahraki, A. (2024). Explainable artificial intelligence for feature selection in network traffic classification: A comparative study. Transactions on Emerging Telecommunications Technologies, 35(4), Article e4970. https://doi.org/10.1002/ett.4970
Turkmen, R., Gelmez, Z. E., Batmaz, A. U., Stuerzlinger, W., Asente, P., Sarac, M., Pfeuffer, K. & Machuca, M. D. B. (2024). EyeGuide & EyeConGuide: Gaze-based Visual Guides to Improve 3D Sketching Systems. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Article 178 Association for Computing Machinery. https://doi.org/10.1145/3613904.3641947
Wagner, U., Jacobsen, A. A., Feuchtner, T., Gellersen, H. & Pfeuffer, K. (2024). Eye-Hand Movement of Objects in Near Space. In B. Ens & S. Carpendale (Eds.), ISS Companion 2024 - Companion Proceedings of the Conference on Interactive Surfaces and Spaces (pp. 18-21). Association for Computing Machinery. https://doi.org/10.1145/3696762.3698044
Wagner, U., Jacobsen, A. A., Feuchtner, T., Gellersen, H. & Pfeuffer, K. (2024). Eye-Hand Movement of Objects in Near Space Extended Reality. In UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Article 84 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676446
Abdrabou, Y., Hassib, M., Hu, S., Pfeuffer, K., Khamis, M., Bulling, A. & Alt, F. (2024). EyeSeeIdentity: Exploring Natural Gaze Behavior for Implicit User Identification during Photo Viewing.
Ma, W. (2024). Fairness-aware Graph Mining. [PhD thesis, Aarhus University].
Svenning, R. & Sridhar, V. (2024). Fast Area-Weighted Peeling of Convex Hulls for Outlier Detection. In Proceedings of the 36th Canadian Conference on Computational Geometry (pp. 233-240). The CCCG Library.
Aranha, D. F., Battagliola, M. & Roy, L. D. (2024). Faster coercion-resistant e-voting by encrypted sorting. In E-Vote-ID 2023 (pp. 53-70). Gesellschaft fur Informatik (GI). https://doi.org/10.18420/e-vote-id2023_03
Higuchi, N., Imamura, Y., Mic, V., Shinohara, T., Hirata, K. & Kuboyama, T. (2024). Fast Filtering for Similarity Search Using Conjunctive Enumeration of Sketches in Order of Hamming Distance. In M. Castrillon-Santana, M. De Marsico & A. Fred (Eds.), Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - ICPRAM (Vol. 1, pp. 499-510). SCITEPRESS Digital Library. https://doi.org/10.5220/0012322700003654
Bui, D., Couteau, G., Meyer, P., Passelègue, A. & Riahinia, M. (2024). Fast Public-Key Silent OT and More from Constrained Naor-Reingold. In M. Joye & G. Leander (Eds.), Advances in Cryptology – EUROCRYPT 2024 (pp. 88-118). Springer. https://doi.org/10.1007/978-3-031-58751-1_4
Jakobsen, A. B., Jørgensen, R. S. M., van de Pol, J. & Pavlogiannis, A. (2024). Fast Symbolic Computation of Bottom SCCs. In B. Finkbeiner & L. Kovács (Eds.), Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2024 (pp. 110-128). Springer. https://doi.org/10.1007/978-3-031-57256-2_6
Mic, V. & Zezula, P. (2024). Filtering with relational similarity. Information Systems, 122, Article 102345. https://doi.org/10.1016/j.is.2024.102345
Petsinis, P., Tsourakakis, C. E. & Karras, P. (2024). Finding Dense and Persistently Expansive Subgraphs. In WWW 2024 Companion - Companion Proceedings of the ACM Web Conference (pp. 553-556). Association for Computing Machinery. https://doi.org/10.1145/3589335.3651507
Kaspersen, M. H., Musaeus, L. H., Bilstrup, K. E. K., Petersen, M. G., Iversen, O. S., Dindler, C. & Dalsgaard, P. (2024). From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy. In F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. Toups Dugas & I. Shklovski (Eds.), CHI' 2024: Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-16). Article 268 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642607
Larsen, K. G. (2024). From TCS to Learning Theory. In R. Kralovic & A. Kucera (Eds.), 49th International Symposium on Mathematical Foundations of Computer Science, MFCS 2024 Article 4 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.MFCS.2024.4
Bommakanti, A., Vonteri, H. R., Skitsas, K., Ranu, S., Mottin, D. & Karras, P. (2024). FUGAL: Feature-fortified Unrestricted Graph Alignment. Abstract from The Thirty-eighth Annual Conference on Neural Information Processing Systems.
Manakhov, P., Sidenmark, L., Pfeuffer, K. & Gellersen, H. (2024). Gaze on the Go: Effect of Spatial Reference Frame on Visual Target Acquisition During Physical Locomotion in Extended Reality. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Article 373 Association for Computing Machinery. https://doi.org/10.1145/3613904.3642915
Hou, B. J., Newn, J., Sidenmark, L., Khan, A. A. & Gellersen, H. (2024). GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing. Proceedings of the ACM on Human-Computer Interaction, 8(ETRA), Article 227. https://doi.org/10.1145/3655601
Gabel, J., Schmidt, S., Pfeuffer, K. & Steinicke, F. (2024). Guiding Handrays in Virtual Reality: Comparison of Gaze- and Object-Based Assistive Raycast Redirection. In S. N. Spencer (Ed.), Proceedings - SUI 2024: ACM Symposium on Spatial User Interaction Article 27 Association for Computing Machinery. https://doi.org/10.1145/3677386.3682080
Lystbæk, M. N., Mikkelsen, T., Krisztandl, R., Gonzalez, E. J., Gonzalez-Franco, M., Gellersen, H. & Pfeuffer, K. (2024). Hands-on, Hands-off: Gaze-Assisted Bimanual 3D Interaction. In UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Article 80 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676331
Fechete, L. I., Larking, A. C., Heslop, A., Hannaford, R., Anderson, C. B., Hong, W., Prakash, S., Mace, W., Alikhani, S., Hofmann, R. W., Tausen, M., Schierup, M. H., Andersen, S. U. & Griffiths, A. G. (2024). Harnessing cold adaptation for postglacial colonisation: Galactinol synthase expression and raffinose accumulation in a polyploid and its progenitors. Plant, Cell & Environment, 47(10), 4014-4030. https://doi.org/10.1111/pce.15009
Zhong, Z., Zhou, K. & Mottin, D. (2024). Harnessing Large Language Models as Post-hoc Correctors. In L.-W. Ku, A. Martins & V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024 (pp. 14559-14574). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.867
Cheng, Y. W., Zhong, Z., Pang, J. & Li, C. T. (2024). Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Computational Intelligence Magazine, 19(2), 49-60. https://doi.org/10.1109/MCI.2024.3363973
Alrøe, S. F., Hoggan, E. & Schulz, H.-J. (2024). Highways and Tunnels: Force Feedback Guidance for Visualisations. In C. Tominski, M. Waldner & B. Wang (Eds.), EuroVisShort2024 The Eurographics Association. https://doi.org/10.2312/evs.20241060
Neumann, L., Guimaraes, A., Aranha, D. F. & Borin, E. (2024). Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data. Abstract from 4th Workshop on Artificial Intelligence and Cryptography, Zurich, Switzerland. https://arxiv.org/abs/2403.20190
Chakraborty, S., Krishna, S. N., Mathur, U. & Pavlogiannis, A. (2024). How Hard Is Weak-Memory Testing? Proceedings of the ACM on Programming Languages , 8, Article 66. https://doi.org/10.1145/3632908
Schulz, H.-J., Aupetit, M. & Fisher, D. (2024). Human Aspects. In J.-D. Fekete, D. Fisher & M. Sedlmair (Eds.), Progressive Data Analysis: Roadmap and Research Agenda (pp. 108-131). Eurographics Association. https://doi.org/10.2312/pda.20242707
Huang, C., Mathiasen, A., Dean, J., Mottin, D. & Assent, I. (2024). HUNIPU: Efficient Hungarian Algorithm on IPUs. In Proceedings - 2024 IEEE 40th International Conference on Data Engineering Workshops, ICDEW 2024 (pp. 388-394). IEEE. https://doi.org/10.1109/ICDEW61823.2024.00062
Shaik, I., Mayer-Eichberger, V., van de Pol, J. & Saffidine, A. (2024). Implicit QBF Encodings for Positional Games. In M. Hartisch, C.-H. Hsueh & J. Schaeffer (Eds.), Advances in Computer Games - 18th International Conference, ACG 2023, Revised Selected Papers (pp. 133-145). Springer. https://doi.org/10.1007/978-3-031-54968-7_12
Obremski, M., Ribeiro, J., Roy, L., Standaert, F.-X. & Venturi, D. (2024). Improved Reductions from Noisy to Bounded and Probing Leakages via Hockey-Stick Divergences. In L. Reyzin & D. Stebila (Eds.), Advances in Cryptology -- CRYPTO 2024 (pp. 461-491). Springer Nature. https://doi.org/10.1007/978-3-031-68391-6_14
Srinivasan, A. & Chan, J. (2024). Improving Selection of Analogical Inspirations through Chunking and Recombination. In C&C '24: Proceedings of the 16th Conference on Creativity & Cognition (pp. 374-397). Association for Computing Machinery. https://doi.org/10.1145/3635636.3656207
Chakraborty, M., Gnanakumar, A., Sridharan, M. & Møller, A. (2024). Indirection-Bounded Call Graph Analysis. In J. Aldrich & G. Salvaneschi (Eds.), 38th European Conference on Object-Oriented Programming, ECOOP 2024 Article 3 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ECOOP.2024.10
Blaabjerg, J. F. (2024). Information Flow Techniques for Mitigating Traffic Analysis. [PhD thesis, Aarhus University]. Aarhus University.
Andersen, L. B., Basballe, D. A., Buus, L., Dindler, C., Hansen, T. I., Hjorth, M., Iversen, O. S., Johannessen, C. M., Kanstrup, K. H., Lorentzen, R. F., Misfeldt, M., Musaeus, L. H., Nielsen, C. B., Petersen, M. G., Schrøder, V. & Slot, M. F. (2024). Infrastructuring digital literacy in K-12 education: A national case study. International Journal of Child - Computer Interaction, 42, Article 100697. https://doi.org/10.1016/j.ijcci.2024.100697
Brzuska, C., Couteau, G., Egger, C., Karanko, P. & Meyer, P. E. (2024). Instantiating the Hash-Then-Evaluate Paradigm: Strengthening PRFs, PCFs, and OPRFs. In C. Galdi & D. Hieu Phan (Eds.), Security and Cryptography for Networks - 14th International Conference, SCN 2024, Proceedings (pp. 97–116). Springer Nature. https://doi.org/10.1007/978-3-031-71073-5_5
Fleischhacker, N., Larsen, K. G., Obremski, M. & Simkin, M. (2024). Invertible Bloom Lookup Tables with Less Memory and Randomness. In T. Chan, J. Fischer, J. Iacono & G. Herman (Eds.), 32nd Annual European Symposium on Algorithms, ESA 2024 Article 54 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.ESA.2024.54
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
Rathish, H., Picón, G. C. & Schulz, H.-J. (2024). LaNe Plot: A Visual Fingerprinting Technique for Sequential Data. In K. Kucher, A. Diehl & C. Gillmann (Eds.), Poster Proceedings of the 26th Eurographics Conference on Visualization The Eurographics Association. https://doi.org/10.2312/evp.20241087
Amireddy, P., Behera, A. R., Paraashar, M., Srinivasan, S. & Sudan, M. (2024). Local Correction of Linear Functions over the Boolean Cube. In STOC 2024: Proceedings of the 56th Annual ACM Symposium on Theory of Computing (pp. 764-775). Association for Computing Machinery. https://doi.org/10.1145/3618260.3649746