Dr. Cecilia Pasquini
Former Member

E-mailcecilia.pasquini@uibk.ac.at
Dr. Cecilia Pasquini

News

Research Interests

  • Multimedia security and forensics
  • Adversarial machine learning
  • Multimedia analysis and verification

Positions

2019–2020 Postdoctoral Fellow, Department of Computer Science, University of Innsbruck, Austria
10/2016 – 12/2018 Postdoctoral Fellow, IT Security Research Group (Prof. Dr.-Ing. Rainer Böhme), University of Münster, Germany, seconded to the University of Innsbruck, Austria
01/2016 – 02/2016 Visiting Researcher, Department of Computer Science, University of Innsbruck, Austria, funded by the BIT PhD School
09/2013 – 12/2013 Visiting Researcher, Signal Processing in Communications Group, University of Vigo, Spain
2012 – 2016 Doctoral Student in Telecommunication Engineering, Department of Information Engineering and Computer Science, University of Trento, Italy

Education

04/2016 Ph.D. in Information and Communication Technology, ICT International Doctoral School, University of Trento, Italy
2010 – 2012 M.Sc. in Mathematics, University of Ferrara, Italy
2007 – 2010 B.Sc. in Applied Mathematics, University of Ferrara, Italy

Publications

  • Pasquini, C. and Böhme, R. Trembling Triggers: Exploring the Sensitivity of Backdoors in DNN-based Face Recognition. EURASIP Journal on Information Security, 12 (2020), 1–15. [Publisher]
  • Kupek, T., Pasquini, C., and Böhme, R. On the Difficulty of Hiding Keys in Neural Networks. In Proceedings of the 8th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC). ACM, 2020. [Publisher] [Video]
  • Pasquini, C. and Böhme, R. Information-Theoretic Bounds for the Forensic Detection of Signal Downscaling. IEEE Transactions on Information Forensics and Security, 14, 7 (July 2019), 1928–1943.
  • Pasquini, C., Boato, G., and Böhme, R. Teaching Digital Signal Processing with a Challenge on Image Forensics. IEEE Signal Processing Magazine, 36, 2 (2019), 101–109. [Publisher]
  • Schöttle, P., Schlögl, A., Pasquini, C., and Böhme, R. Detecting Adversarial Examples – A Lesson from Multimedia Security. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO). EURASIP, Rome, Italy, 2018. [PDF]
  • Phan, Q.T., Pasquini, C., and Boato, G. Identifying Image Provenance: an Analysis of Mobile Instant Messaging Apps. In IEEE International Conference on Multimedia Signal Processing (MMSP. 2018.
  • Pasquini, C. and Böhme, R. Towards a Theory of JPEG Block Convergence. In IEEE International Conference on Image Processing (ICIP). Athens, Greece, 2018, pp. 550–554. [PDF] [Publisher]
  • Pasquini, C., Boato, G., and Pèrez-Gonzàlez, F. Statistical Detection of JPEG Traces in Digital Images in Uncompressed Formats. IEEE Transactions on Information Forensics and Security (TIFS), 12, 12 (2017), 2890–2905. [Publisher]
  • Köhler, O.M., Pasquini, C., and Böhme, R. On the Statistical Properties of Syndrome Trellis Coding. In C. Krätzer, Y.-Q. Shi, J. Dittmann and H.-J. Kim, eds., Digital Forensics and Watermarking, 16th International Workshop, IWDW 2017. Lecture Notes in Computer Science 10431, Springer, Cham, 2017, pp. 331–346.
  • Pasquini, C. and Böhme, R. Information-theoretic Bounds of Resampling Forensics: New Evidence for Traces Beyond Cyclostationarity. In Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC). ACM, New York, 2017, pp. 3–14. [PDF] [Publisher]
  • Pasquini, C., Schöttle, P., and Böhme, R. Decoy Password Vaults: At Least As Hard As Steganography? In S.D.C. di Vimercati and F. Martinelli, eds., ICT Systems Security and Privacy Protection (IFIP SEC). IFIP Advances in Information and Communication Technology 502, Springer, 2017, pp. 327–340. [PDF]
  • Malacarne, A., Bonomi, M., Pasquini, C., and Boato, G. Improved Remote Estimation of Heart Rate in Face Videos. In IEEE Global Conference on Signal and Information Processing (GlobalSIP). Washington D.C., USA, 2016.
  • Pasquini, C., Boato, G., Anjalic, N., and De Natale, F. A Deterministic Approach to Detect Median Filtering in 1D Data. IEEE Transactions on Information Forensics and Security, 11, 7 (2016), 1425–1437. [Publisher]
  • Pasquini, C., Schöttle, P., Böhme, R., Boato, G., and Pèrez-Gonzàlez, F. Forensics of High Quality and Nearly Identical JPEG Image Recompression. In ACM Information Hiding and Multimedia Security Workshop. Vigo, Galicia, Spain, 2016, pp. 11–21. [Publisher]
  • Pasquini, C., Brunetta, C., Vinci, A., Conotter, V., and Boato, G. Towards the verification of image integrity in online news. In IEEE International Conference on Multimedia & Expo Workshops (ICMEW). 2015, pp. 1–6.
  • Dang-Nguyen, D.T., Pasquini, C., Conotter, V., and Boato, G. RAISE - A raw images dataset for digital image forensics. In ACM Multimedia Systems Conference (MMSys). 2015, pp. 219–224.
  • Pasquini, C., Pérez-González, F., and Boato, G. A Benford-Fourier JPEG Compression Detector. In IEEE International Conference on Image Processing. 2014, pp. 5322–5326.
  • Pasquini, C., Boato, G., and Pérez-González, F. Multiple JPEG compression detection by means of Benford-Fourier coefficients. In IEEE Workshop on Information Forensics and Security (WIFS). 2014, pp. 113–118.
  • Pasquini, C., Comesaña-Alfaro, P., Pérez-González, F., and Boato, G. Transportation-theoretic image counterforensics to First Significant Digit histogram forensics. In Proceedings of ICASSP. 2014, pp. 2718–2722.
  • Pasquini, C. and Boato, G. JPEG compression anti-forensics based on first significant digit distribution. In IEEE Workshop on Multimedia Signal Processing (MMSP). 2013, pp. 500–505.

In German

  • Köhler, O.M., Pasquini, C., and Böhme, R. Verbesserung der Syndrome-Trellis-Kodierung zur Erhöhung der Unvorhersagbarkeit von Einbettpositionen in steganographischen Systemen. In H. Langweg and M. Meier, eds., Sicherheit 2018 – Sicherheit, Schutz und Zuverlässigkeit. Lecture Notes in Informatics, Gesellschaft für Informatik, Bonn, 2018, pp. 83–94.

Projects