Your Secrets Are Safe
Y. Wu, P. Gupta, M. Wei, Y. Acar, S. Fahl, B. Ur, in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW ’18, ACM Press, 2018.

"We make it a big deal in the company": Security Mindsets in Organizations that Develop Cryptographic Products
J.M. Haney, M. Theofanos, Y. Acar, S.S. Prettyman, in: M.E. Zurko, H.R. Lipford (Eds.), Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018, USENIX Association, 2018, pp. 357–373.

The Rise of the Citizen Developer: Assessing the Security Impact of Online App Generators
M. Oltrogge, E. Derr, C. Stransky, Y. Acar, S. Fahl, C. Rossow, G. Pellegrino, S. Bugiel, M. Backes, in: 2018 IEEE Symposium on Security and Privacy (SP), IEEE, 2018.

Accurate WiFi based indoor positioning with continuous location sampling
J.E. van Engelen, J.J. van Lier, F.W. Takes, H. Trautmann, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), Springer, Dublin, Ireland, 2018, pp. 524–540.

Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, ACM, New York, NY, USA, 2018, pp. 585–592.

evoStream — Evolutionary Stream Clustering Utilizing Idle Times
M. Carnein, H. Trautmann, Big Data Research 14 (2018) 101–111.

Multiobjective evolutionary algorithms based on target region preferences
L. Li, Y. Wang, H. Trautmann, N. Jing, M. Emmerich, Swarm and Evolutionary Computation 40 (2018) 196–215.

Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation (ECJ) 26 (2018) 597–620.

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18) Companion, Kyoto, Japan, 2018, pp. 1737–1744.

Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach
J. Schmalenstroeer, R. Haeb-Umbach, in: 26th European Signal Processing Conference (EUSIPCO 2018), 2018.

The RWTH/UPB System Combination for the CHiME 2018 Workshop
M. Kitza, W. Michel, C. Boeddeker, J. Heitkaemper, T. Menne, R. Schlüter, H. Ney, J. Schmalenstroeer, L. Drude, J. Heymann, R. Haeb-Umbach, in: Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India, 2018.

Benchmarking Neural Network Architectures for Acoustic Sensor Networks
J. Ebbers, J. Heitkaemper, J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming
J. Schmalenstroeer, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Textaufgaben strategisch und sprachlich bewältigen lernen – Pilotstudie zur Wirksamkeit eines Förderkonzepts
J. Dröse, in: Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018, WTM, Münster, 2018, pp. 469–472.

Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen
J. Dröse, S. Prediger, Mathematik lehren 206 (2018) 8–12.

Developers Deserve Security Warnings, Too: On the Effect of Integrated Security Advice on Cryptographic API Misuse
P.L. Gorski, L.L. Iacono, D. Wermke, C. Stransky, S. Möller, Y. Acar, S. Fahl, in: M.E. Zurko, H.R. Lipford (Eds.), Fourteenth Symposium on Usable Privacy and Security, SOUPS 2018, Baltimore, MD, USA, August 12-14, 2018, USENIX Association, 2018, pp. 265–281.

A Large Scale Investigation of Obfuscation Use in Google Play
D. Wermke, N. Huaman, Y. Acar, B. Reaves, P. Traynor, S. Fahl, in: Proceedings of the 34th Annual Computer Security Applications Conference, ACSAC 2018, San Juan, PR, USA, December 03-07, 2018, ACM, 2018, pp. 222–235.

Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2018, pp. 585–592.

Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.