{"id":141,"date":"2016-10-06T09:19:18","date_gmt":"2016-10-06T14:19:18","guid":{"rendered":"http:\/\/misl.ece.drexel.edu\/?page_id=141"},"modified":"2020-05-04T11:08:48","modified_gmt":"2020-05-04T16:08:48","slug":"publications","status":"publish","type":"page","link":"https:\/\/research.coe.drexel.edu\/ece\/misl\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Journal Publications<\/strong><\/p>\n

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

    Conference Publications<\/strong><\/p>\n

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

      <\/p>\n

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