Matthias Kirchner, Dr.-Ing.

Principal Engineer

Matthias Kirchner, Dr.-Ing., is a principal engineer on Kitware’s Computer Vision Team located in Clifton Park, New York. He is an expert in the field of media forensics and brings almost 15 years of experience and domain knowledge into research collaborations at the intersection of computer vision and forensics.

On DARPA MediFor, Matthias worked on various aspects of image sensor attribution and verification. As the PI of Kitware’s NGA BIG BAA Topic 9, he led the development of tools for detecting metadata tampering in overhead imagery. Currently, his main focus is on the DARPA SemaFor program, which seeks to develop innovative semantic technologies for analyzing media.

Prior to joining Kitware, Matthias was an assistant professor in the electrical and computer engineering department at Binghamton University. He has also worked with the IT security research group at the University of Münster, Germany, and the International Computer Science Institute (ICSI) in Berkeley, California.

Matthias received his Dr.-Ing. in computer science and his Dipl.-Ing. in information systems technology from Technische Universität Dresden in Germany.

Education

Dr.-Ing. in computer science from Technische Universität Dresden

Dipl.-Ing. in information systems technology from Technische Universität Dresden

Awards

Best Paper Award presented by IEEE International Workshop on Information Security and Forensics (WIFS), 2019

M. Kirchner and C. Johnson, “SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. [URL]

Deutsche Telekom Stiftung Doctoral Scholarship from Technische Universität Dresden, 2007-2010

Invited Talks & Media

“The Good, the Bad, and the Public: Sensor-based Device Identification beyond Media Forensics,” Keynote, International Workshop on Digital Forensics and Watermarking, 2016

“How we Learned to Stop Worrying about Content and Love the Metadata,” Invited talk, IEEE Workshop on Information Forensics and Security, 2013

“Digital Image Forensics: State of the Art and Practical Challenges,” Invited talk, GdR ISIS, 2013

Get to Know Matthias

What is your favorite thing about working at Kitware? I enjoy working on challenging real-world research problems in a uniquely collaborative environment that draws inspiration from both customers and academic partners.

Share something interesting about yourself that is not on your resume. I enjoy trail running and love that there are many like-minded trail runners at Kitware. I also collect vinyl records and love to use my two turntables and a mixer to spark dance, movement, or any other sort of emotional response in equally receptive listeners.

Publications

Matthias’ publication list is below. To see all of Kitware’s computer vision publications, please visit the Computer Vision Publications page.

  1. M. Hosseini and M. Kirchner, "Unsupervised Image Manipulation Localization With Non-Binary Label Attribution," IEEE Signal Processing Letters, vol. 26, no. 7, pp. 976–980, 2019. [URL]
  2. C. Liu and M. Kirchner, "CNN-based Rescaling Factor Estimation," in ACM Workshop on Information Hiding and Multimedia Security, 2019. [URL]
  3. E. Quiring, M. Kirchner, and K. Rieck, "On the Security and Applicability of Fragile Camera Fingerprints," in European Symposium on Research in Computer Security, 2019. [URL]
  4. M. Kirchner, C. Pasquini, and I. Shumailov, "Information Security Meets Adversarial Examples," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. [URL]
  5. M. Kirchner and C. Johnson, "SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. Winner, Best Paper Award. [URL]
  6. M. Goljan, J. Fridrich, and M. Kirchner, "Image Manipulation Detection Using Sensor Linear Pattern," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2018. [URL]
  7. C. Liu and M. Kirchner, "Linear Filter Kernel Estimation Based on Digital Camera Sensor Noise," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2017. [URL]
  8. S. Chakraborty and M. Kirchner, "PRNU-based Image Manipulation Localization with Discriminative Random Fields," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2017. [URL]
  9. M. Wu, A. Hajj-Ahmad, M. Kirchner, Y. Ren, C. Zhang, and P. Campisi, "Location Signatures That You Don't See: Highlights from the IEEE Signal Processing Cup 2016 Student Competition," IEEE Signal Processing Magazine, vol. 33, no. 5, pp. 149-156, 2016. [URL]
  10. R. Böhme and M. Kirchner, "Media Forensics," in Information Hiding. Artech House, 2016, pp. 231-259.
  11. S. Chakraborty and M. Kirchner, "Compression Forensics Beyond The First Significant Digit," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2016. [URL]
  12. J. Entrieri and M. Kirchner, "Patch-Based Desynchronization of Digital Camera Sensor Fingerprints," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2016. [URL]
  13. M. Kirchner and T. Gloe, "Forensic Camera Model Identification," in Handbook of Digital Forensics of Multimedia Data and Devices. John Wiley & Sons Inc, 2015, pp. 331--374.
  14. M. Kirchner and S. Chakraborty, "A Second Look at First Significant Digit Histogram Restoration," in IEEE International Workshop on Information Forensics and Security, 2015. [URL]
  15. E. Quiring and M. Kirchner, "Fragile Sensor Fingerprint Camera Identification," in IEEE International Workshop on Information Forensics and Security, 2015. Winner, Best Student Paper Award. [URL]
  16. M. Kirchner, P. Schöttle, and C. Riess, "Thinking Beyond the Block: Block Matching for Copy--Move Forgery Detection Revisited," in Media Watermarking, Security, and Forensics, 2015. [URL]
  17. T. Gloe, A. Fischer, and M. Kirchner, "Forensic Analysis of Video File Formats," Digital Investigation, vol. 11, pp. S68-S76, 2014. [URL]
  18. M. Kirchner and R. Böhme, "Steganalysis in Technicolor: Boosting WS Detection of Stego Images from CFA-Interpolated Covers," in IEEE International Conference on Acoustics, Speech and Signal Processing, 2014. [URL]
  19. N. Fechner and M. Kirchner, "The Humming Hum: Background Noise as a Carrier of ENF Artifacts in Mobile Device Audio Recordings," in International Conference on IT Security Incident Management & IT Forensics, 2014. [URL]
  20. R. Böhme and M. Kirchner, "Counter-Forensics: Attacking Image Forensics," in Digital Image Forensics: There is More to a Picture Than Meets the Eye. Springer-Verlag, 2013, pp. 327-366.
  21. S. Ryu, M. Kirchner, M. Lee, and H. Lee, "Rotation Invariant Localization of Duplicated Image Regions Based on Zernike Moments," IEEE Transactions on Information Forensics and Security, vol. 8, no. 8, pp. 1355-1370, 2013. [URL]
  22. M. Kirchner and D. Ghosal, Information Hiding, 14th International Conference, IH 2012. Springer, 2013.
  23. M. Kirchner, P. Winkler, and H. Farid, "Impeding Forgers at Photo Inception," in Media Watermarking, Security, and Forensics, 2013. [URL]
  24. T. Gloe, S. Pfennig, and M. Kirchner, "Unexpected Artefacts in PRNU-based Camera Identification: A 'Dresden Image Database' Case-Study," in ACM Multimedia and Security Workshop, 2012. [URL]
  25. S. Pfennig and M. Kirchner, "Spectral Methods to Determine the Exact Scaling Factor of Resampled Digital Images," in International Symposium on Communications Control and Signal Processing, 2012. [URL]
  26. M. Kirchner, "Linear Row and Column Predictors for the Analysis of Resized Images," in ACM Multimedia and Security Workshop, 2010. [URL]
  27. M. Kirchner, "Efficient Estimation of CFA Pattern Configuration in Digital Camera Images," in Media Forensics and Security II, 2010. [URL]
  28. M. Kirchner and J. Fridrich, "On Detection of Median Filtering in Digital Images," in Media Forensics and Security II, 2010. [URL]
  29. M. Kirchner and T. Gloe, "On Resampling Detection in Re-compressed Images," in IEEE International Workshop on Information Forensics and Security, 2009. [URL]
  30. R. Böhme, F. Freiling, T. Gloe, and M. Kirchner, "Multimedia Forensics is not Computer Forensics," in International Workshop on Computational Forensics, 2009. [URL]
  31. M. Kirchner and R. Böhme, "Synthesis of Color Filter Array Pattern in Digital Images," in Media Forensics and Security, 2009. [URL]
  32. M. Kirchner and R. Böhme, "Hiding Traces of Resampling in Digital Images," IEEE Transactions on Information Forensics and Security, vol. 3, no. 4, pp. 582-592, 2008. [URL]
  33. M. Kirchner, "Fast and Reliable Resampling Detection by Spectral Analysis of Fixed Linear Predictor Residue," in ACM Multimedia and Security Workshop, 2008. [URL]
  34. M. Kirchner, "On the Detectability of Local Resampling in Digital Images," in Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 2008. [URL]
  35. M. Kirchner and R. Böhme, "Tamper Hiding: Defeating Image Forensics," in International Workshop on Information Hiding, 2007. [URL]
  36. T. Gloe, M. Kirchner, A. Winkler, and R. Böhme, "Can we Trust Digital Image Forensics?," in Proceedings of the International Conference on Multimedia, 2007. [URL]

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