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. 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. 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 Proceedings of the 32nd International Conference on ICT Systems Security and Privacy Protection (IFIP SEC). 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 Informations 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