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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

Metrics for Assessing Visual Security of Image and Video Encryption Schemes (ViSecMetrics)

 

Project Description:

ViSecMetrics (FWF project P27776) is a project on developing metrics to automatically assess the amount of information present in image or video ciphertext (after eventual attacks have been mounted). Such metrics play an important role in the definition of security of image and video encryption schemes (IVES): The security of IVES relies on the inability of an attacker to reconstruct an approximation of the original content with higher quality than targeted by the scheme. Compared to conventional visual quality metrics (PSNR / SSIM / VIF) these security metrics have to assess visual similarity for extremely low quality content, for which the conventional metrics are no longer applicable. Besides the development of such metrics (which is one of the main goals of this project), different subjective test methodologies will have to be considered, developed and implemented, which are applied to IVES-specific subjective databases. These databases, also established in the framework of the project, will serve as objective basis of evaluation for the suitability of a metric.

 
 

Members:

  
 

Timeframe:

  • June 2015 - May 2018
  
 

Publications:

  1. [Hofbauer24a   ] Quality and Recognizability Estimation Video Encryption Database Heinz Hofbauer, Florent Autrusseau, Andreas Uhl Information Sciences 678, pp. 17, 2024
  2. [Lamminger23a  ] First Learning Steps to Recognize Faces in the Noise Lukas Lamminger, Heinz Hofbauer, Andreas Uhl In Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, pp. 139–144, New York, NY, USA, IH&MMSec '23, Association for Computing Machinery, 2023
  3. [Hofbauer22a   ] Utilizing CNNs for Cryptanalysis of Selective Biometric Face Sample Encryption Heinz Hofbauer, Yoanna Martínez-Díaz, Luis Santiago Luevano, Heydi Méndez-Vázquez, Andreas Uhl In Proceedings of the 26th International Conference on Pattern Recognition (ICPR), pp. 8, August 21 - August 25, 2022
  4. [Rieger21a  ] Security Assessment of Partially Encrypted Visual Data: Iris Recognition on Protected Samples M. Rieger, J. Hämmerle-Uhl, A. Uhl In 2021 IEEE International Conference on Image Processing (ICIP'21), pp. 3008-3012, Anchorage, AK, USA, September 19 - September 22, 2021
  5. [Hofbauer21a     ] Highly Efficient Protection of Biometric Face Samples with Selective JPEG2000 Encryption Heinz Hofbauer, Yoanna Martínez-Díaz, Simon Kirchgasser, Heydi Méndez-Vázquez, Andreas Uhl In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '21, pp. 5, 2021
  6. [Hofbauer21b   ] Low Quality and Recognition of Image Content Heinz Hofbauer, Florent Autrusseau, Andreas Uhl IEEE Transactions on Multimedia 24, pp. 16, 2021
  7. [Rieger20a ] Security Assessment of Partially Encrypted Visual Data: Using Iris Recognition as Generic Measure (Most Outstanding IWBF'20 Oral Presentation Award) M. Rieger, J. Hämmerle-Uhl, A. Uhl In Proceedings of the 8th International Workshop on Biometrics and Forensics (IWBF'20), pp. 1-6, Porto, Portugal, April 29 - April 30, 2020
  8. [Shekhawat20a  ] Efficient Fingervein Sample Image Encryption Sanjay Shekhawat, Heinz Hofbauer, Bernhard Prommegger, Andreas Uhl In Proceedings of the 8th International Workshop on Biometrics and Forensics (IWBF'20), pp. 1-6, Porto, Portugal, April 29 - April 30, 2020, Shortlisted for best paper award
  9. [Hofbauer20b   ] To Recognize or not to Recognize --- A Database of Encrypted Images with Subjective Recognition Ground Truth Heinz Hofbauer, Florent Autrusseau, Andreas Uhl Information Sciences 551, pp. 128-145, 2020
  10. [Rieger19a  ] Selective JPEG2000 Encryption of Iris Data: Protecting Sample Data vs. Normalised Texture M. Rieger, J. Hämmerle-Uhl, A. Uhl In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'19), pp. 2602-2606, Brighton, UK, May 12 - May 17, 2019
  11. [Preishuber18a  ] Depreciating Motivation and Empirical Security Analysis of Chaos-based Image and Video Encryption Mario Preishuber, Thomas Hütter, Stefan Katzenbeisser, Andreas Uhl IEEE Transactions on Information Forensics and Security 13:9, pp. 2137-2150, 2018
  12. [Rathgeb17a   ] Methods for Accuracy-preserving Acceleration of Large-Scale Comparisons in CPU-based Iris Recognition Systems Christian Rathgeb, Nicolas Buchmann, Heinz Hofbauer, Harald Baier, Andreas Uhl, Christoph Busch IET Biometrics 7:4, pp. 356-364, 2018
  13. [Hofbauer18a     ] Applicability of No-Reference Visual Quality Indices for Visual Security Assessment Heinz Hofbauer, Andreas Uhl In Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2018), pp. 139-144, 2018
  14. [Rieger18a   ] Efficient Iris Sample Data Protection using Selective JPEG2000 Encryption of Normalised Texture M. Rieger, J. Hämmerle-Uhl, A. Uhl In Proceedings of the 6th International Workshop on Biometrics and Forensics (IWBF'18), pp. 1-7, Sassari, Italy, June 7 - June 8, 2018
  15. [Hofbauer18c   ] To See or Not To See: Determining the Recognition Threshold of Encrypted Images Heinz Hofbauer, Florent Autrusseau, Andreas Uhl In Proceedings of 7th European Workshop on Visual Information Processing (EUVIP'18), pp. 6, 2018
  16. [Draschl17a  ] Sensor Dependency in Efficient Fingerprint Image Protection using Selective JPEG2000 Encryption Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 5th International Workshop on Biometrics and Forensics (IWBF'17), pp. 1-6, Coventry, United Kindom, April 4 - 5, 2017
  17. [Drozdowski17a  ] Towards Pre-alignment of Near-infrared Iris Images P. Drozdowski, C. Rathgeb, H. Hofbauer, J. Wagner, A. Uhl, C. Busch In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB'17), pp. 8, 2017
  18. [Kauba16b   ] Image Segmentation Based Visual Security Evaluation Christof Kauba, Stefan Mayer, Andreas Uhl In Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2016), pp. 1-6, Vigo, Spain, June 20 - June 23, 2016
  19. [Draschl16a  ] Efficient Fingerprint Image Protection Principles using Selective JPEG2000 Encryption Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 1st Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), pp. 1-6, Aalborg, Denmark, July 6 - July 8, 2016
  20. [Draschl16b  ] Assessment of Efficient Fingerprint Image Protection Principles using different Types of AFIS Martin Draschl, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 18th International Conference on Information and Communications Security (ICICS'16), pp. 241-253, Singapore, Springer LNCS, 9977, November 29th - December 2nd, 2016
  21. [Huetter16a  ] Weaknesses in Security Considerations Related to Chaos-Based Image Encryption Thomas Hütter, Mario Preishuber, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 18th International Conference on Information and Communications Security (ICICS'16), pp. 278-291, Singapore, Springer LNCS, 9977, November 29th - December 2nd, 2016
  22. [Hofbauer16c     ] Identifying Deficits of Visual Security Metrics for Images Heinz Hofbauer, Andreas Uhl Signal Processing: Image Communication 46, pp. 60-75, 2016
 
Multimedia Signal Processing
and Security Lab
Thursday, 21-Nov-2024 13:33:14 CET