News
- I co-organize a special session on ``Information Security meets Adversarial Examples’’ at the IEEE International Workshop on Information Forensics and Security 2019 (WIFS) in Delft, the Netherlands.
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 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 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.