Prof. Dr. Nicolai Bissantz

Distinguished paper award conferred to paper on software fuzzing
The paper "SoK: Prudent Evaluation Practices for Fuzzing" which includes contributions on resampling methods in statistics by Nicolai Bissantz from the statistics section of the department of mathematics at the Ruhr-University has been given a distinguished paper award at the IEEE Symposium on Security and Privacy (San Francisco, 2024, May 20th-23rd).
Software fuzzing, or fuzz testing, is a dynamic testing method for the detection of faults in software systems, where the idea is to find new and so far unknown bugs in software in such a way that not only previously known or suspected sources of faults in the system are tested. Finding such bugs can be of tremendous importance for internet security if bugs are found and fixed before being misused by state-run or commercially oriented third parties for attacks on software systems. The method is based on evaluating the behaviour of the system for some initial input, where the testing process includes randomness, where the sources for the randomness include input, scheduling order of the process, etc.
The full reference of the paper is Schloegel, M., Bars, N., Schiller, N., Bernhard, L., Scharnowski, T., Crump, A., Ebrahim, A.A., Bissantz, N., Muench, M. and Holz, T, "SoK: Prudent Evaluation Practices for Fuzzing", IEEE Symposium on Security and Privacy (S&P), 2024. Most authors of the paper are at the CISPA Helmholtz Center for Information Security, except for Marius Muench (University of Birmingham) and Nicolai Bissantz (Ruhr-University Bochum).

Präzisere Diagnostik mit medizinischen Bildgebungsverfahren
Neues Projekt beim Bundesministerium für Bildung und Forschung (BMBF).
Pressestelle RUB, Bochum, 24.02.2017

(Mis)Use of Statistics in Science
Interview with PD Dr. Nicolai Bissantz. Journal of Unsolved Questions, Vol. 6, Issue 2, July 2016, Page XXXI

RUB-Statistiker helfen bei Mittelvergabe
Gelder sollen gerechter verteilt werden.
WAZ, Dienstag, 05.05.2015.

RUB-Statistiker unterstützen Landesregierung
Gelder aus dem Bildungs- und Teilhabepaket gerechter verteilen - Auf Gutachten folgt Gesetzesentwurf
Pressestelle RUB, Bochum, 04.05.2015

Kapitalanlagen vor Krisen schützen
Bochumer und Dortmunder Statistiker entwickeln neue Handelsstrategie für Portfolios Pressestelle RUB, Bochum, 16.05.2011 Nr. 152

Höhere Kollisionsgefahr für die Milchstrasse,
Spiegel Online, 6. Januar 2009

Astrophysicists Map Milky Way's Four Spiral Arms,
Pressestelle RUB, 6. Januar 2009
 

• Blümel, S., Beule, L., Bissantz, N., Kirchner, W.H., Haberlah-Korr, V. (2024).
  Taxon-specific response of natural enemies to different flower strip mixtures
  Journal of Applied Ecology
• Ale-Ebrahim, A, Barsl, N., Bernhard, L., Bissantz, N.,Crump, A., Holzl, T., Muench, M., Scharnowski, T.,Schiller, N., Schloegel, M. (2024).
  SoK: Prudent Evaluation Practices for Fuzzing"
  2024 IEEE Symposium on Security and Privacy (SP)
• Bissantz, N.,  Dunsche, M., Nurullah, E., Maehre, M., Merget, R., Schwenk and J., Somorovsky, J. (2024). 
  With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors">.
  USENIX Security Symposium
• Schloegel, M., Bars, N., Schiller, N., Bernhard, L., Scharnowski, T., Crump, A., Ebrahim, A. A., Bissantz, N., Muench, M. and Holz, T. (2024).
  SoK: Prudent Evaluation Practices for Fuzzing.
  IEEE Symposium on Security and Privacy (S&P 2024), accepted.
• Bissantz, K., Bissantz, N. and Proksch, K. (2021).
  Nonparametric detection of changes over time in image data from fluorescence microscopy of living cells.
  Scandinavian Journal of Statistics 48(3), 1001-1017.
• Fyrbiak, M., Wallat, S., Reinhard, S., Bissantz, N. Paar, C. (2020).
  Graph similarity and its applications to hardware security.
  IEEE Transactions on Computers69(4), 505-519.
• Gruszka, P., Stammen, C., Bissantz, N. and Jensen, M.P. (2020).
  Pain vs. comfort diary: A fully remote app-based experiment.
  European Journal of Pain23(9), 1674-1687.
• Kutta, T., Bissantz, N., Chown, J., and Dette, H. (2019).
  The empirical process of residuals from an inverse regression.
  Mathematical Methods of Statistics28(2), 104-126.
• Chown, J., Bissantz, N. and Dette, H. (2019).
  Goodness-of-fit testing the error distribution in multivariate indirect regression.
  Electronic Journal of Statistics13, 2658-2685.
• Bissantz, N., Chown, J., and Dette, H. (2020).
  Regularization parameter selection in indirect regression by residual based bootstrap.
  Statistica Sinica30, 1255-1283.
• Lucka, F., Proksch, K., Brune, C., Bissantz, N., Burger, M., Dette, H. and Wübbeling, F. (2018).
  Risk estimators for choosing regularization parameters in ill-posed problems - properties and limitations.
  Inverse Problems and Imaging 12(5), 1121-1155.
• Gude, P., Rieckert, C., Bissantz, N., Weber, T.P., Vogelsang, H., Dazert, S. and Thomas, J.P. (2018).
  Analgetikabedarf bei Kindern im Alter zwischen 2 und 12 Jahren nach Tonsillenoperationen /
  Need of analgetics in children aged 2-12 years after tonsil surgery.
  Laryngo-Rhino-Otologie, 97(7) , 465-473.
• Eckle, K., Bissantz, N., Dette, H., Proksch, K. Einecke, S. (2018).
  Multiscale inference for a multivariate density with applications to X-ray astronomy.
  Annals of the Institute of Statistical Mathematics70(3), 647-689.
• Fyrbiak, M., Rokicki, Bissantz, N., Tessier, R. and Paar, C. (2018)
  Hybrid Obfuscation against Disclosure Attacks for Low-cost Embedded Systems.
  IEEE Transactions on Computers67(3), 307-321.
• Bondzio, L., Scheit, M., Berghaus, B., Bissantz, N., Bakaba, J.E. und Ortlepp, J. (2017).
  Sicherung von bevorrechtigten umlaufenden Radwagen an innerörtlichen Kreisverkehren.
  Gesamtverband der Deutschen Versicherungswirtschaft e.V., Forschungsbericht Nr. 46.
• Pokorny, T., Vogler, I. Losch, R., Schlütting, P., Juarez, P., Bissantz, N., Ramirez, S.R. and Eltz, T. (2017)
  Blown by the Wind: The Ecology of Male Courtship Display Behaviour in Orchid Bees.
  Ecology98(4), 1140-1152.
• Eckle, K., Bissantz, N. and Dette, H. (2017)
  Multiscale inference for multivariate deconvolution.
  Electronic Journal of Statistics11(2), 4179-4219.
• Bissantz, H., Dette, N., Hildebrandt, T. and Bissantz, K. (2016).
  Smooth backfitting in additive inverse regression. Annals of the Institute of Statistical Mathematics68(4), 827-853.
• Michalak, J., Probst, T., Heidenreich, T. Bissantz, N. and Schramm, E. (2016).
  Mindfulness-based Cognitive Therapy and a group version of Cognitive Behavioral Analysis System of Psychotherapy for chronic depression: Follow-up data of a randomized controlled trial and the moderating role of childhood adversities.
  Psychotherapy & Psychosomatics 85(6), 378-380.
• Proksch, K., Bissantz, N., Dette, H. (2015).
  Confidence bands for multivariate and time dependent inverse regression models. Bernoulli21(1), 144-175.
• Hildebrandt, T., Bissantz, N., Dette, H. (2014).
  Additive inverse regression models with convolution-type operators. Electronic Journal of Statistics8, 1-40.
• Wied, D., Arnold, M., Bissantz, N., Ziggel, D. (2013).
  Über die Anwendbarkeit eines neuen Fluktuationstests für Korrelationen auf Finanzzeitreihen, ursprüngliches Arbeitspapier: A new online-test for changes in correlations between assets. AStA Wirtschafts- und Sozialstatistisches Archiv6(3), 87-103.
• Bissantz, N., Holzmann, H. and Proksch, K. (2014).
  Confidence regions for images observed under the Radon transform. Journal of Multivariate Analysis128, 86-107.
• Bissantz, N., Holzmann, H. (2013).
  Asymptotics for spectral regularization estimators in statistical inverse problems. Computational Statistics, 28(2), 435-453.
• Birke, M., Bissantz, N. (2012).
  Testing for symmetries in multivariate inverse problems. Journal of Multivariate Analysis 109, 236-253.
• Bissantz, N., Dette, H., Proksch, K. (2012).
  Model checks in inverse regression models with convolution-type operators. Scandinavian Journal of Statistics39 , 305-322.
• Wied, D., Arnold, M. Bissantz, N. Ziggel, D. (2012).
  A new fluctuation test for constant variances with applications to finance. Metrika75(8), 1111-1127.
• Biedermann, S., Bissantz, N., Dette, H., Jones. E. (2011).
  Optimal designs for indirect regression. Inverse Problems 27 , 105003.
• Bissantz, N., Jenke, A.C., Trampisch, M., Klaassen-Mielke, R., Bissantz, K., Trampisch, H.-J., Holland-Letz, T. (2011).
  Hospital-based, prospective multicentre surveillance to determine the incidence of intussusception in children aged below 15 years in Germany. BMC Gastroenterology11:26.
• Detloff, K.C., Zander, C.D., Bissantz, N., Ziggel, D. (2011).
  Seasonal variation in feeding activities of the facultative cleaner Symphodus melanocercus (Risso, 1810) in the Tyrrhenian Sea (Italy). Bulletin of Fish Biology12(1/2), 15-26.
• Bissantz, K., Bissantz, N., Ziggel, D. (2011).
  An empirical study of correlation and volatility changes of stock indices and their impact on risk figures. Acta Universitatis Danubius (Œconomica)7(4) 127-141.
• Bissantz, N., Steinorth, V., Ziggel, D. (2011).
  Stabilität von Diversifikationseffekten im Markowitz-Modell. AStA Wirtschafts- und Sozialstatistisches Archiv 5(2), 145-157.
• Birke, M., Bissantz, N., Holzmann, H. (2010).
  Confidence bands for inverse regression models. Inverse Problems 26 115020.
• Balabdaoui, F., Bissantz, K., Bissantz, N. and Holzmann, H. (2010).
  Demonstrating single- and multiple currents through the E. coli-SecYEG-pore: Testing for the number of modes of noisy observations. Journal of the American Statistical Association105(489), 136-146.
• Marek, C., Bissantz, N., Curio, E., Siegert, A., Tacud, B. and Ziggel, D. (2010).
  Spatial orientation of the Philippine bent-toed gecko (Cyrtodactylus philippinicus) in relation to its home range.
  Salamandra46(2), 93-97.
• Bissantz, N., Holzmann, H., Pawlak, M. (2010).
  Improving PSF calibration in confocal microscopic imaging - estimating and exploiting bilateral symmetry.
  Annals of Applied Statistics4(4) , 1871-1891.
• Bissantz, N., Birke, M. (2009).
  Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators. Journal on Multivariate Analysis, 100(10), 2364-2375.
• Anders, P., Baumgardt, H., Bissantz, N., Portegies Zwart, S. (2009).
  How well do STARLAB and NBODY4 compare? I: Simple models. Monthly Notices of the Royal Astronomical Society, 395(4) , 2304-2316.
• Bissantz, N., Dümbgen, L., Munk, A., Stratmann, B. (2009).
  Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces. SIAM Journal on Optimization, 19 , 1828-1845.
• Bissantz, N., Claeskens, G., Holzmann, H., Munk, A. (2009).
  Testing for lack of fit in inverse regression -- with applications to biophotonic imaging. J. Royal Statist. Society Ser. B., 71, 25-48.
• Bissantz, N., Holzmann, H., Pawlak, M. (2009).
  Testing for image symmetries -- with application to confocal microscopy. IEEE Transactions on Information Theory, 55(4) .
• Pohl, M., Englmaier, P., Bissantz, N. (2008).
  3D Distribution of Molecular Gas in the Barred Milky Way. Astrophysical Journal , 677 , 283-291.
• Bissantz, N., Holzmann, H. (2008).
  Statistical Inference for Inverse Problems. Inverse Problems , 24(3) , 034009.
• Bissantz, N., Mair, B., Munk, A. (2008).
  A statistical stopping rule for MLEM reconstructions in PET. IEEE Nucl. Sci. Symp. Conf. Rec., 8 , 4198-4200.
• Bissantz, N., Mair, B., Munk, A. (2007).
  Stochastic multi-scale selection of the stopping index in PET. Proceedings in Applied Mathematics and Mechanics.
• Bissantz, N., Dümbgen, L., Holzmann, H. and Munk, A. (2007).
  Nonparametric confidence bands in deconvolution density estimation. J. Royal Statist. Society Ser. B. 69 , 483-506.
• Anders, P., Bissantz, N., Boysen, L., Fritze - v. Alvensleben, U., de Grijs, R. (2007).
  The young star cluster system in the Antennae: evidence for a turnover in the luminosity function. Monthly Notices of the Royal Astronomical Society, 377, 91-106.
• Bissantz, N., Hohage, T., Munk, A., Ruymgaart, F. (2007).
  Convergence rates of general regularization methods for statistical inverse problems and applications. SIAM J. Numerical Analysis, 45 , 2610-2636.
• Holzmann, H., Bissantz, N. und Munk, A. (2007).
  Density testing in a contaminated sample J. Multivariate Analysis, 98, 57-75.
• Bissantz, N., Holzmann, H. (2007).
  Estimation of a quadratic regression functional using the sinc kernel J. Statist. Plann. Inference, 137, 712-719.
• N. Bissantz, B. Mair, A. Munk (2006).
  A multi-scale stopping criterion for MLEM reconstructions in PET. IEEE Nucl. Sci. Symp. Conf. Rec., 6 , 3376-3379.
• Bissantz, N. (2006).
  Iterative inversion methods for statistical inverse problems. Proc. of the conference "Phystat05"
  (Proceedings of the Conference on Statistical Problems in Particle Physics, Astrophysics and Cosmology, L. Lyons and M. K. “Unel, eds., Imperial College Press, London, 2006, pp. 263–266).
• Jacobs, J., Kurby, S., Schöbel, A., Scholl, S., Bissantz, N., Güttler, S., Schaer, T. (2005).
  DisKon – Laborversion eines flexiblen, modularen und automatischen Dispositionsassistenzsystems Eisenbahntechnische Rundschau, 54, 809-821.
• Bissantz, N., Holzmann, H. Munk, A. (2005).
  Testing parametric assumptions on band- or time-limited signals under noise. IEEE Transactions on Information Theory, 51, 3796-3805.
• Munk, A., Bissantz, N., Wagner, T., Freitag, G. (2005).
  On difference based variance estimation in nonparametric regression when the covariate is high dimensional. J. Roy. Statist. Soc. Ser. B, 67, 19-41.
• Bissantz, N., Hohage, T., Munk, A. (2004).
  Consistency and rates of convergence of nonlinear Tikhonov regularisation with random noise. Inverse Problems, 20, 1773-89.
• Bissantz, N., Debattista, V., Gerhard, O. (2004).
  Large-Scale Model of the Milky Way: Stellar Kinematics and the Microlensing Event Timescale Distribution in the Galactic Bulge Astroph. Journ., 601, L155-L158.
• Anders, P., Bissantz, N., Fritze-v. Alvensleben, U., de Grijs, R. (2004).
  Analysing observed star cluster SEDs with evolutionary synthesis models: Systematic uncertainties. Mon. Not. R. Astron. Soc., 347, 196-212.
• Anders, P., de Grijs, R., Fritze-v. Alvensleben, U., Bissantz, N. (2004).
  Star Cluster Formation and Evolution in the Dwarf Starburst Galaxy NGC 1569. Mon. Not. R. Astron. Soc., 347, 17-28.
• Bissantz, N., Englmaier, P., Gerhard, O. (2003).
  Gas Dynamics in the Milky Way: Second Pattern Speed and Large-Scale Morphology. Mon. Not. R. Astron. Soc., 340, 949-968.
• Bissantz, N., Munk, A., Scholz, A. (2003).
  Parametric versus non-parametric modelling? Statistical evidence based on P-value curves. Mon. Not. R. Astron. Soc., 340, 1190-1198.
• Bissantz, N., Munk, A. (2002).
  A graphical selection method for parametric models in noisy inhomogeneous regression. Mon. Not. R. Astron. Soc., 336, 131-138.
• Bissantz, N., Munk, A. (2003).
  New goodness of fit techniques in noisy inhomogeneous regression problems. With an application to the problem of recovering of the luminosity density of the Milky Way from surface brightness data. "Statistical Challenges in Modern Astronomy III" (eds. Feigelson, E.D., Babu, G.J.) Springer, New York.
• Bissantz, N., Gerhard, O. (2002).
  Spiral arms, bar shape and bulge microlensing in the Milky Way. Mon. Not. R. Astron. Soc., 330, 591-608.
• Bissantz, N. (2001).
  Structure and dynamics of the inner Galaxy. Inauguraldissertation (Universität Basel).
• Bissantz, N., Munk, A. (2001).
  New statistical goodness of fit techniques in noisy inhomogeneous inverse problems. With application to the recovering of the luminosity distribution of the Milky Way. Astron. & Astroph., 376, 735-744.
• Bissantz, N., Munk, A. (2001).
  New Statistical Goodness of Fit Techniques Applied to the Recovery of the Milky Way Near-IR Luminosity Density Distribution - the 'Wild Bootstrap' Approach. "Galaxy Disks and Disk Galaxies" (eds. Funes S.J., J.G., Corsini, E.M.) ASP Conf. Ser., 230, 51-52.
• Bissantz, N., Gerhard, O. (2001).
  Bulge Microlensing in the Milky Way. "Galaxy Disks and Disk Galaxies" (eds. Funes S.J., J.G., Corsini, E.M.) ASP Conf. Ser., 230, 49-50.
• Bissantz, N., Gerhard, O. (2001).
  Spiral Arms, Bar Shape and Bulge Microlensing in the Milky Way. "Dynamics of Star Clusters and the Milky Way" (eds. Deiters, S., et al.) ASP Conf. Ser., 228, 389.
• Binney, J., Bissantz, N., Gerhard, O. (2000).
  Is Galactic Structure Compatible with Microlensing Data? Astrophys. Journ., 537, L99-L102.
• Bissantz, N., Gerhard, O. (2000).
  Tracing spiral structure in the Milky Way - spiral arms, bar shape and bulge microlensing. "Star 2000" conference (Heidelberg, 2000).
• Bissantz, N., Englmaier, P., Binney, J., Gerhard, O. (1997).
  The microlensing optical depth of the COBE bulge. Mon. Not. R. Astron. Soc., 289, 651-659.
• Bissantz, N. (1996).
  Gravitationslinsen. Tagungsband des IWAA Workshop 1996 über "Sterne und Sternsysteme".
• Bissantz, N., Federspiel, M., Trefzger, Ch. (1994).
  Spektren von Mira-Sternen. Orion, 260, 41-45.