König J. On the Membership and Correctness Problem for State Serializability and Value Opacity.; 2023.
LibreCat: /record/47833

Hansmeier T. XCS for Self-Awareness in Autonomous Computing Systems.; 2023.
LibreCat: /record/47837

Gharibian S, Hayakawa R, Gall FL, Morimae T. Improved Hardness Results for the Guided Local Hamiltonian Problem. In: Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP). Vol 261. ; 2023:1-19. doi:10.4230/LIPIcs.ICALP.2023.32
LibreCat: /record/32407
DOI: 10.4230/LIPIcs.ICALP.2023.32
arXiv: 2207.10250

Humpert L, Wäschle M, Horstmeyer S, Anacker H, Dumitrescu R, Albers A. Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP. 2023;119:693-698. doi:10.1016/j.procir.2023.02.160
LibreCat: /record/48051
DOI: 10.1016/j.procir.2023.02.160

Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136
LibreCat: /record/47522
DOI: 10.1145/3594805.3607136

Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.
LibreCat: /record/46297

Schäpermeier L, Kerschke P, Grimme C, Trautmann H. Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In: Emmerich M, Deutz A, Wang H, et al., eds. Evolutionary Multi-Criterion Optimization. Springer Nature Switzerland; 2023:291–304.
LibreCat: /record/46298

Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation. Published online 2023:1–25. doi:10.1162/evco_a_00341
LibreCat: /record/46299
DOI: 10.1162/evco_a_00341

Habernal I, Mireshghallah F, Thaine P, Ghanavati S, Feyisetan O. Privacy-Preserving Natural Language Processing. In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.eacl-tutorials.6
LibreCat: /record/48289
DOI: 10.18653/v1/2023.eacl-tutorials.6

Matzken C, Eger S, Habernal I. Trade-Offs Between Fairness and Privacy in Language Modeling. In: Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.findings-acl.434
LibreCat: /record/48288
DOI: 10.18653/v1/2023.findings-acl.434

Mouhammad N, Daxenberger J, Schiller B, Habernal I. Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. In: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.law-1.8
LibreCat: /record/48291
DOI: 10.18653/v1/2023.law-1.8

Yin Y, Habernal I. Privacy-Preserving Models for Legal Natural Language Processing. In: Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.nllp-1.14
LibreCat: /record/48296
DOI: 10.18653/v1/2022.nllp-1.14

Decking L. Zuweisung Verteilter Speicher Unter Maximierung Der Minimalen Gewichteten Bandbreite.; 2023.
LibreCat: /record/48430

Weidmann N, Kirchhoff J, Sauer S. Digitizing Processes in Manufacturing Companies via Low-Code Software (to appear). In: Springer; 2023.
LibreCat: /record/48368

Koldewey C, Martin R, Dumitrescu R, Winter J. Introduction to the Minitrack on Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management. In: Proceedings of the 56th Hawaii International Conference on System Sciences. ; 2023.
LibreCat: /record/48669

Dumitrescu R, Koldewey C, eds. Datengestützte Produktplanung. Vol 408. Heinz Nixdorf Institut; 2023. doi:10.17619/UNIPB/1-1667
LibreCat: /record/48666
DOI: 10.17619/UNIPB/1-1667

Wermke D, Klemmer JH, Wöhler N, et al. “Always Contribute Back”: A Qualitative Study on Security Challenges of the Open Source Supply Chain. In: 44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023. IEEE; 2023:1545–1560. doi:10.1109/SP46215.2023.10179378
LibreCat: /record/47304
DOI: 10.1109/SP46215.2023.10179378

Krause A, Klemmer JH, Huaman N, Wermke D, Acar Y, Fahl S. Pushed by Accident: A Mixed-Methods Study on Strategies of Handling Secret Information in Source Code Repositories. In: Calandrino JA, Troncoso C, eds. 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023. USENIX Association; 2023.
LibreCat: /record/47299

Fourné M, Wermke D, Enck W, Fahl S, Acar Y. It’s like flossing your teeth: On the Importance and Challenges of Reproducible Builds for Software Supply Chain Security. In: 44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023. IEEE; 2023:1527–1544. doi:10.1109/SP46215.2023.10179320
LibreCat: /record/47310
DOI: 10.1109/SP46215.2023.10179320

Munyendo CW, Acar Y, Aviv AJ. “In Eighty Percent of the Cases, I Select the Password for Them”: Security and Privacy Challenges, Advice, and Opportunities at Cybercafes in Kenya. In: 44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023. IEEE; 2023:570–587. doi:10.1109/SP46215.2023.10179410
LibreCat: /record/47311
DOI: 10.1109/SP46215.2023.10179410