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5674 Publications
2024 | Preprint | LibreCat-ID: 51334 | 
K. Sonntag, B. Gebken, G. Müller, S. Peitz, and S. Volkwein, “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces,” arXiv:2402.06376. 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 40171 |
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. L. Brunton, and K. Taira, “Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning,” Physica D: Nonlinear Phenomena, vol. 461, p. 134096, 2024, doi: 10.1016/j.physd.2024.134096.
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2024 | Bachelorsthesis | LibreCat-ID: 52318
S. Dorociak, Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung. 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 52235
M. Khedkar and E. Bodden, “Toward an Android Static Analysis Approach for Data Protection,” presented at the 9th International Conference on Mobile Software Engineering and Systems 2024, Lisbon, Portugal, 2024.
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| arXiv
2024 | Journal Article | LibreCat-ID: 52587
E. Bodden, J. Pottebaum, M. Fockel, and I. Gräßler, “Evaluating Security Through Isolation and Defense in Depth,” IEEE Security & Privacy, vol. 22, no. 1, pp. 69–72, 2024, doi: 10.1109/msec.2023.3336028.
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2024 | Journal Article | LibreCat-ID: 33461 |
S. E. Otto, S. Peitz, and C. W. Rowley, “Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories,” SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, pp. 885–923, 2024, doi: 10.1137/22M1523601.
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| arXiv
2024 | Misc | LibreCat-ID: 52663
A.-K. Wickert, M. Schlichtig, M. Vogel, L. Winter, M. Mezini, and E. Bodden, Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability. 2024.
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2024 | Journal Article | LibreCat-ID: 52686
Q. A. Ahmed, T. Wiersema, and M. Platzner, “Post-configuration Activation of Hardware Trojans in FPGAs,” Journal of Hardware and Systems Security, 2024, doi: 10.1007/s41635-024-00147-5.
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2024 | Conference Paper | LibreCat-ID: 52379
S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,” 2024, doi: 10.1145/3626252.3630961.
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2024 | Conference Paper | LibreCat-ID: 52827
L. Hu, I. Habernal, L. Shen, and D. Wang, “Differentially Private Natural Language Models: Recent Advances and Future Directions,” in Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, 2024, pp. 478–499.
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