Back to Basics: Extracting Software Requirements with a Syntactic Approach
M. Caron, F.S. Bäumer, M. Geierhos, in: K. Schmid, P. Spoletini, E. Ben Charrada, Y. Chisik, F. Dalpiaz, A. Ferrari, P. Forbrig, X. Franch, M. Kirikova, N. Madhavji, C. Palomares, J. Ralyté, M. Sabetzadeh, P. Sawyer, D. van der Linden, A. Zamansky (Eds.), Joint Proceedings of REFSQ-2018 Workshops, Doctoral Symposium, Live Studies Track, and Poster Track Co-Located with the 23rd International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2018), CEUR-WS.org, 2018.

Frame-Online DNN-WPE Dereverberation
J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: IWAENC 2018, Tokio, Japan, 2018.

Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming
J. Heitkaemper, J. Heymann, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Integration neural network based beamforming and weighted prediction error dereverberation
L. Drude, C. Boeddeker, J. Heymann, K. Kinoshita, M. Delcroix, T. Nakatani, R. Haeb-Umbach, in: INTERSPEECH 2018, Hyderabad, India, 2018.

NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing
L. Drude, J. Heymann, C. Boeddeker, R. Haeb-Umbach, in: ITG 2018, Oldenburg, Germany, 2018.

Machine learning techniques for semantic analysis of dysarthric speech: An experimental study
V. Despotovic, O. Walter, R. Haeb-Umbach, Speech Communication 99 (2018) 242-251 (Elsevier B.V.) (2018).

Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation
L. Drude, T. von Neumann, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.

Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation
L. Drude,  Takuya  Higuchi, K. Kinoshita, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.

Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition
C. Boeddeker, H. Erdogan, T. Yoshioka, R. Haeb-Umbach, in: ICASSP 2018, Calgary, Canada, 2018.

Efail: Breaking S/MIME and OpenPGP Email Encryption using Exfiltration Channels
D. Poddebniak, C. Dresen, J. Müller, F. Ising, S. Schinzel, S. Friedberger, J. Somorovsky, J. Schwenk, in: 27th USENIX Security Symposium (USENIX Security 18), USENIX Association, Baltimore, MD, 2018, pp. 549–566.

Return Of Bleichenbacher\'74extquoterights Oracle Threat (ROBOT)
H. Böck, J. Somorovsky, C. Young, in: 27th USENIX Security Symposium (USENIX Security 18), USENIX Association, Baltimore, MD, 2018, pp. 817–849.

Security Analysis of eIDAS -- The Cross-Country Authentication Scheme in Europe
N. Engelbertz, N. Erinola, D. Herring, J. Somorovsky, V. Mladenov, J. Schwenk, in: 12th USENIX Workshop on Offensive Technologies (WOOT 18), USENIX Association, Baltimore, MD, 2018.

Modelling the Interface of Hybrid Metal-FRP Components Joint by Form Closures
M. Triebus, T. Tröster, A.A. Camberg, S. Bienia, K. Dröder, in: 15. Deutsches LS-Dyna Forum, 2018.

The influence of damage accumulation on failure prediction: a comparative assessment of *MAT_224 and *MAT_024 + GISSMO for the application in non-isothermal sheet metal forming
A.A. Camberg, T. Tröster, A. Schneidt , N. Sotirov , J. Tölle, in: 15. Deutsches LS-Dyna Forum, 2018.

Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data
S. Peitz, ArXiv:1801.06419 (2018).

Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions
S. Klus, S. Peitz, I. Schuster, ArXiv:1805.10118 (2018).

Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities
S.P. Hoffmann, M. Albert, N. Weber, D. Sievers, J. Förstner, T. Zentgraf, C. Meier, ACS Photonics 5 (2018) 1933–1942.

Erratum: Optical properties of titanium-doped lithium niobate from time-dependent density-functional theory [Phys. Rev. Materials 1, 034401 (2017)]
M. Friedrich, W.G. Schmidt, A. Schindlmayr, S. Sanna, Physical Review Materials 2 (2018).

Fachsensibilität als Ressource für den Writing Fellow-Ansatz
V. Frahnert, A. Karsten, in: A. Voigt (Ed.), Lehren und Lernen mit Writing Fellows. Beiträge zur Forschung, Evaluation und Adaption, wbv, Bielefeld, 2018, pp. 127–139.

Selbstoptimierung
J. Tönsing, in: Von Automatismen bis Zersetzung. Wörterbuchprojekt des Graduiertenkollegs Automatismen, 2018.