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Alessandro Piva

Alessandro Piva

D-Index & Metrics

Computer Science

D-Index
49
Citations
13020
World Ranking
5786
National Ranking
133

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to multimedia security

Overview

Alessandro Piva is affiliated with the University of Florence in Italy and specializes in the field of Computer Science, contributing to 72 publications. Their research primarily focuses on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Law, and Information Systems.

Their work covers several main topics, notably:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Law in Society and Culture
  • Image Processing Techniques and Applications
  • Video Analysis and Summarization
  • Digital and Cyber Forensics

Alessandro Piva has collaborated frequently with various coauthors throughout their career, including:

  • Massimo Iuliani
  • Daniele Baracchi
  • Dasara Shullani
  • Fabrizio Argenti
  • Marco Fontani

Their publications appear regularly in notable venues such as:

  • Pattern Recognition Letters
  • Journal of Imaging
  • IEEE Access
  • arXiv (Cornell University)
  • Frontiers in Imaging

Selected recent papers by Alessandro Piva include:

  • "A Survey of Deep Learning-Based Source Image Forensics," 2020, Journal of Imaging
  • "A Leak in PRNU Based Source Identification-Questioning Fingerprint Uniqueness," 2021, IEEE Access
  • "Efficient Video Integrity Analysis Through Container Characterization," 2020, IEEE Journal of Selected Topics in Signal Processing
  • "Experiencing with electronic image stabilization and PRNU through scene content image registration," 2021, Pattern Recognition Letters
  • "Social Network Identification of Laundered Videos Based on DCT Coefficient Analysis," 2022, IEEE Signal Processing Letters

Alessandro Piva has also contributed to scholarly literature through book publications with Springer Science+Business Media. They have two editions of "Digital Forensics and Watermarking," published in 2020 and 2022.

In recognition of their contributions to multimedia security, Alessandro Piva was named an IEEE Fellow in 2019.

Best Publications

  • Improved wavelet-based watermarking through pixel-wise masking

    M. Barni;F. Bartolini;A. Piva

  • A DCT-domain system for robust image watermarking

    Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Piva

  • DCT-based watermark recovering without resorting to the uncorrupted original image

    A. Piva;M. Barni;F. Bartolini;V. Cappellini

  • Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts

    P. Ferrara;T. Bianchi;A. De Rosa;A. Piva

  • Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts

    T. Bianchi;A. Piva

  • An Overview on Image Forensics

    Alessandro Piva

  • An overview on video forensics

    P. Bestagini;K. M. Fontani;S. Milani;M. Barni

  • VISION: a video and image dataset for source identification

    Dasara Shullani;Marco Fontani;Massimo Iuliani;Omar Al Shaya;Omar Al Shaya

  • On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

    T. Bianchi;A. Piva;M. Barni

  • A new decoder for the optimum recovery of nonadditive watermarks

    M. Barni;F. Bartolini;A. De Rosa;A. Piva

  • Privacy-preserving fingercode authentication

    Mauro Barni;Tiziano Bianchi;Dario Catalano;Mario Di Raimondo

  • Improved DCT coefficient analysis for forgery localization in JPEG images

    Tiziano Bianchi;Alessia De Rosa;Alessandro Piva

  • Detection of Nonaligned Double JPEG Compression Based on Integer Periodicity Maps

    T. Bianchi;A. Piva

  • DWT-based technique for spatio-frequency masking of digital signatures

    Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Lippi

  • Protection and retrieval of encrypted multimedia content: when cryptography meets signal processing

    Zekeriya Erkin;Alessandro Piva;Stefan Katzenbeisser;R. L. Lagendijk

  • Composite Signal Representation for Fast and Storage-Efficient Processing of Encrypted Signals

    T. Bianchi;A. Piva;M. Barni

  • Multichannel watermarking of color images

    M. Barni;F. Bartolini;A. Piva

  • Managing copyright in open networks

    A. Piva;F. Bartolini;M. Barni

  • Multispectral imaging of paintings

    A. Pelagotti;A. Del Mastio;A. De Rosa;A. Piva

  • Secure Watermarking for Multimedia Content Protection: A Review of its Benefits and Open Issues

    T. Bianchi;A. Piva

Frequent Co-Authors

Mauro Barni
Mauro Barni University of Siena
Franco Bartolini
Franco Bartolini University of Florence
Tiziano Bianchi
Tiziano Bianchi Polytechnic University of Turin
Stefan Katzenbeisser
Stefan Katzenbeisser University of Passau
Bart Preneel
Bart Preneel KU Leuven
Vincenzo Piuri
Vincenzo Piuri University of Milan
Yao Zhao
Yao Zhao Beijing Jiaotong University
Anderson Rocha
Anderson Rocha State University of Campinas
Dario Fiore
Dario Fiore Madrid Institute for Advanced Studies
Fabio Scotti
Fabio Scotti University of Milan

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