Publications

Journal Publications

  1. O. Mayer, M. C. Stamm, “Exposing Fake Images with Forensic Similarity Graphs,” under review, 2020. (Website)
  2. C. Chen, X. Zhao, M. C. Stamm, “Generative Adversarial Attacks Against Deep-Learning-Based Camera Model Identification,” IEEE Transactions on Information Forensics and Security, 2019.
  3. O. Mayer, M. C. Stamm, “Forensic Similarity for Digital Images,” IEEE Transactions on Information Forensics and Security, 2019. (Website)
  4. B. Bayar, M. C. Stamm, “Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection,” IEEE Transactions on Information Forensics and Security, 2018.
  5. O. Mayer, M. C. Stamm, “Accurate and Efficient Image Forgery Detection Using Lateral Chromatic Aberration,” IEEE Transactions on Information Forensics and Security, 2018.
  6. T. Huang, N. Kandasamy, H. Sethu, and M. C. Stamm, “An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling,” IEEE Transactions on Cloud Computing, 2017.
  7. X. Chu, Y. Chen, M. C. Stamm, and K. J. R. Liu, “Information Theoretical Limit of Operation Forensics: The Forensicability,” IEEE Transactions on Information Forensics and Security, vol. 11, no. 4, pp. 774-788, April 2016.
  8. X. Chu, M. C. Stamm, and K. J. R. Liu, “Compressive Sensing Forensics,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 7, pp. 1416-1431, Jul. 2015.
  9. X. Chu, M. C. Stamm, Y. Chen, and K. J. R. Liu, “On Antiforensic Concealability with Rate-Distortion Tradeoff,” IEEE Transactions on Image Processing, vol. 24, no. 3, pp. 1087-1100, Mar. 2015.
  10. X. Kang, M. C. Stamm, A. Peng, and K. J. R. Liu, “Robust Median Filtering Forensics Using an Autoregressive Model,” IEEE Transactions on Information Forensics and Security, vol. 8, no. 9, pp. 1456_1468, Sep. 2013.
  11. M. C. Stamm, M. Wu, and K. J. R. Liu, “Information Forensics: An Overview of the First Decade,” IEEE Access, vol. 1, pp. 167-200, 2013.
  12. M. C. Stamm, W. S. Lin, and K. J. R. Liu, “Temporal Forensics and Anti-Forensics in Digital Videos,” IEEE Trans. on Information Forensics and Security, vol. 7, no. 4, pp. 1315 – 1329, Aug. 2012.
  13. M. C. Stamm and K. J. R. Liu, “Anti-Forensics of Digital Image Compression,” IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 1050 – 1065, Sep. 2011.
  14. M. C. Stamm and K. J. R. Liu, “Forensic Detection of Image Manipulation Using Statistical Intrinsic Fingerprints,” IEEE Transactions on Information Forensics and Security, vol. 5, no. 3, pp. 492 – 506, Sep. 2010.

Conference Publications

  1. C. Chen*, X. Zhao*, and M. C. Stamm, “MISLGAN: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network,” IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 2018. (* Both authors contributed equally to this publication)
  2. M. Barni, M. C. Stamm, and B. Tondi, “Adversarial Multimedia Forensics: Overview and Challenges Ahead,” European Signal Processing Conference (EUSIPCO), Rome, Italy, Sep. 2018.
  3. O. Mayer, B. Bayar, and M. C. Stamm, “Learning Unified Deep-Features for Multiple Forensic Tasks,” ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), Innsbruck, Austria, Jun. 2018.
  4. O. Mayer and M. C. Stamm, “Learned Forensic Source Similarity For Unknown Camera Models,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, Apr. 2018.
  5. B. Bayar and M. C. Stamm, “Towards Open Set Camera Model Identification Using A Deep Learning Framework,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, Apr. 2018.
  6. B. Bayar and M. C. Stamm, “Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks,”IS&T International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics, CA, Jan. 2018.
  7. B. Bayar and M. C. Stamm, “Augmented Convolutional Feature Maps for Robust CNN-Based Camera Model Identification,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 2017.
  8. C. Chen and M. C. Stamm, “Image Filter Identification Using Demosaicing Residual Features,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 2017.
  9. C. Chen*, X. Zhao*, and M. C. Stamm, “Detecting Anti-Forensic Attacks on Demosaicing-Based Camera Model Identification,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 2017. (* Both authors contributed equally to this publication)
  10. B. Bayar and M. C. Stamm, “A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks,” ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), Philadelphia, PA, pp. 147-157, Jun. 2017.
  11. O. Mayer and M. C. Stamm, “Countering Anti-Forensics of Lateral Chromatic Aberration,” ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), Philadelphia, PA, pp. 15-20, Jun. 2017.
  12. B. Bayar and M. C. Stamm, “On the Robustness of Constrained Convolutional Neural Networks to JPEG Post-Compression for Image Resampling Detection,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, pp. 2152-2156, Mar. 2017.
  13. B. Bayar and M. C. Stamm, “Design Principles of Convolutional Neural Networks for Multimedia Forensics,” IS&T International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics, Burlingame, CA, Jan. 2017.
  14. X. Zhao and M. C. Stamm, “Computationally Efficient Demosaicing Filter Estimation for Forensic Camera Model IOdentification,” IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, Sep. 2016.
  15. B. Bayar and M. C. Stamm, “A Deep Learning Approach To Universal Image Manipulation Detection Using A New Convolutional Layer,” ACM Workshop on Information Hiding and Multimedia Security, Vigo, Spain, Jun. 2016.
  16. S. DeCelles, T. Huang, M. C. Stamm, N. Kandasamy, “Detecting Incipient Faults in Software Systems: A Compressed Sampling-Based Approach,” IEEE International Conference on Cloud Computing (CLOUD), (15% acceptance rate), San Francisco, CA, Jun. 2016.
  17. O. Mayer and M. C. Stamm, “Improved Forgery Detection With Lateral Chromatic Aberration,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016.
  18. S. Decelles, M. C. Stamm, and N. Kandasamy, “Efficient Online Performance Monitoring of Computing Systems Using Predictive Models,” IEEE/ACM International Conference on Utility & Cloud Computing (UCC) (27.5% acceptance rate), Limassol, Cyprus, Dec. 2015, pp. 152-161.
  19. C. Chen and M. C. Stamm, “Camera Model Identification Framework Using an Ensemble of Demosaicing Features,” IEEE International Workshop on Information Forensics and Security (WIFS), Rome, Italy, Nov. 2015, pp. 1-6.
  20. O. Mayer and M. C. Stamm, “Anti-Forensics of Chromatic Aberration,” Proc. IS&T SPIE Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, Feb. 2015, pp. 94 090M-94 090M.
  21. X. Chu, Y. Chen, M. C. Stamm, and K. J. R. Liu, “Information Theoretical Limit of Compression Forensics,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 2689-2693.
  22. M. C. Stamm, X. Chu, and K. J. R. Liu, “Forensically Determining the Order of Signal Processing Operations,” IEEE International Workshop on Information Forensics and Security (WIFS), Guangzhou, China, Nov. 2013, pp. 162-167.
  23. M. C. Stamm and and K. J. R. Liu, “Protection Against Reverse Engineering in Digital Cameras,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [Invited for Special Session on Adversarial Signal Processing]
  24. X. Chu, M. C. Stamm, and and K. J. R. Liu, “Concealability-Rate-Distortion Tradeoff in Image Compression Anti-Forensics,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013.
  25. Z.-H. Wu, M. C. Stamm, and and K. J. R. Liu, “Anti-Forensics of Median Filtering,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013.
  26. X. Kang, M. C. Stamm, A. Peng, and K. J. R. Liu, “Robust Median Filtering Forensics Based on the Autoregressive Model of Median Filtered Residual,” Proc. APSIPA Annual Summit and Conference, Hollywood, California, pp. 1-9, December 2012.
  27. X. Chu, M. C. Stamm, and K. J. R. Liu, “Forensic Identification of Compressive Sensing in Nearly Sparse Signals,” IEEE International Conference on Image Processing (ICIP), Orlando, Florida, pp. 257-260, October 2012.
  28. M. C. Stamm, W. S. Lin, and K. J. R. Liu, “Forensics vs. Anti-Forensics: A Decision And Game Theoretic Framework,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012, pp. 1749 – 1752.
  29. X. Chu, M. C. Stamm, W. S. Lin, and K. J. R. Liu, “Forensic Identification of Compressively Sensed Images,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012, pp. 1837 – 1840.
  30. M. C. Stamm and K. J. R. Liu, “Anti-Forensics for Frame Deletion/Addition in MPEG Video,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 1876 – 1879.
  31. M. C. Stamm and K. J. R. Liu, “Wavelet-Based Image Compression Anti-Forensics,” IEEE International Conference on Image Processing (ICIP), Hong Kong, China, September 2010, pp. 1737 – 1740.
  32. M. C. Stamm, S. K. Tjoa, W. S. Lin, and K. J. R. Liu, “Undetectable Image Tampering Through JPEG Compression Anti-Forensics,” IEEE International Conference on Image Processing (ICIP), Hong Kong, China, September 2010, pp. 2109 – 2112.
  33. M. C. Stamm, S. K. Tjoa, W. S. Lin, and K. J. R. Liu, “Anti-Forensics of JPEG Compression,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Dallas, March 2010, pp. 1694 – 1697.
  34. M. C. Stamm and K. J. R. Liu, “Forensic Estimation and Reconstruction of a Contrast Enhancement Mapping,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Dallas, March 2010, pp. 1698 – 1701.
  35. S. K. Tjoa, M. C. Stamm, W. S. Lin, and K. J. R. Liu, “Harmonic Variable-Size Dictionary Learning for Music Source Separation,” IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Dallas, Mar. 2010, pp. 413 – 416.
  36. M. C. Stamm and K. J. R. Liu, “Forensic Detection of Image Tampering Using Intrinsic Statistical Fingerprints in Histograms,” Proc. APSIPA Annual Summit and Conference, Sapporo, Japan, October 2009.
  37. M. C. Stamm and K. J. R. Liu, “Anti-Forensic Signal Processing,” Proc. ARO Workshop on Digital Forensics, Arlington, VA, September 2009.
  38. M. Stamm and K. J. R. Liu, “Blind Forensics of Contrast Enhancement in Digital Images,” IEEE Int. Conf. Image Processing (ICIP), San Diego, USA, October 2008, pp. 3112 – 3115.