Rahimian, S.: Defending Membership Inference Attacks on Classification Models with Differential Privacy. Master, 61 pp., Universität des Saarlandes, Saarbrücken (2019)

Saran, D.: Summarizing Dynamic Graphs using MDL. Master, Universität des Saarlandes, Saarbrücken (2019)

Klesen, J.: Black-Box Adversarial Attacks in Machine Learning. Bachelor, 91 pp., Universität des Saarlandes, Saarbrücken (2019)

Voigt, M.: Separateness of Variables - A Novel Perspective on Decidable First-Order Fragments. (2019), 44 pp.

Abbas, A.; Swoboda, P.: Bottleneck Potentials in Markov Random Fields. (2019), 16 pp.

Abdulaziz, M.; Mehlhorn, K.; Nipkow, T.: Trustworthy Graph Algorithms. (2019), 22 pp.

Akrami, H.; Mehlhorn, K.; Odland, T.: Ratio-Balanced Maximum Flows. (2019), 7 pp.

Alldieck, T.; Magnor, M. A.; Bhatnagar, B. L.; Theobalt, C.; Pons-Moll, G.: Learning to Reconstruct People in Clothing from a Single RGB Camera. (2019), 12 pp.

Alldieck, T.; Pons-Moll, G.; Theobalt, C.; Magnor, M. A.: Tex2Shape: Detailed Full Human Body Geometry From a Single Image. (2019), 13 pp.

Arora, S.; Yates, A.: Investigating Retrieval Method Selection with Axiomatic Features. (2019), 14 pp.

Bajpai, V.; Brunstrom, A.; Feldmann, A.; Kellerer, W.; Pras, A.; Schulzrinne, H.; Smaragdakis, G.; Wählisch, M.; Wehrle, K.: The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research. (2019), 8 pp.

Balliu, A.; Hirvonen, J.; Lenzen, C.; Olivetti, D.; Suomela, J.: Locality of Not-So-Weak Coloring. (2019), 14 pp.

Baumgartner, P.; Waldmann, U.: Hierarchic Superposition Revisited. (2019), 48 pp.

Becker, R.; Emek, Y.; Lenzen, C.: Low Diameter Graph Decompositions by Approximate Distance Computation. (2019), 27 pp.

Bemana, M.; Myszkowski, K.; Seidel, H.-P.; Ritschel, T.: Neural View-Interpolation for Sparse Light Field Video. (2019), 11 pp.

Bhatnagar, B. L.; Tiwari, G.; Theobalt, C.; Pons-Moll, G.: Multi-Garment Net: Learning to Dress 3D People from Images. (2019), 11 pp.

Bhattacharyya, A.; Fritz, M.; Schiele, B.: "Best-of-Many-Samples" Distribution Matching. (2019), 14 pp.

Bläser, M.; Ikenmeyer, C.; Lysikov, V.; Pandey, A.; Schreyer, F.-O.: Variety Membership Testing, Algebraic Natural Proofs, and Geometric Complexity Theory. (2019), 50 pp.

Božič, A.; Zollhöfer, M.; Theobalt, C.; Nießner, M.: DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data. (2019), 18 pp.

Bradford, R.; Davenport, J. H.; England, M.; Errami, H.; Gerdt, V.; Grigoriev, D.; Hoyt, C.; Košta, M.; Radulescu, O.; Sturm, T. et al.; Weber, A.: Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks. (2019), 60 pp.