Luisa Verdoliva Profile Page
Luisa Verdoliva
Contact Info
Luisa
Verdoliva
Associate Professor
...
+39 081 76-83929
via Claudio 21, 80125 (Fuorigrotta) Napoli
Building 3/A, Room 4.28

Bio

Luisa Verdoliva is Associate Professor at the Department of Industrial Engineering at the University Federico II of Naples and holder of the Italian habilitation for Full Professor. She teaches “Signal Theory” and “Multimedia Signal Processing”. She has been Visiting Professor at Friedrich-Alexander-University (FAU) in Erlangen for the period May-October 2018, where she taught the course “Deep learning in Multimedia Forensics”. She is currently a Visiting Scientist at Google AI in San Francisco in the Perception team.

She is the Principal Investigator for the Research Unit of University Federico II of Naples in the DISPARITY (Digital, Semantic and Physical Analysis of Media Integrity) project funded by DARPA under the MEDIFOR program (2016-2020). She is also PI for the Research Unit of University Federico II of Naples of the project PREMIER: PREserving Media trustworthiness in the artificial Intelligence Era (PRIN) starting January 2020.

The list of publications are available at Google Profile.

Fellowships

  • IEEE Information Forensics and Security Technical Committee (IFS-TC) vice-Chair, 2020.
  • IEEE Information Forensics and Security Workshops and Challenges Subcommittee Chair, Mar. 2017 – Dec. 2018.
  • EURASIP Signal and Data Analytics for Machine Learning Special Area Teams (SAT) elected member, 2019-2021
  • IEEE Information Forensics and Security Technical Committee (IFS-TC) elected member, 2016-2018.
  • IEEE Senior member Dec. 2017 - present.

Awards

  • 2019: Best Paper Award to “Extracting camera-based fingerprints for video forensics”, IEEE CVPR Workshop on Media Forensics – Prize: GPU NVIDIA TITAN V.
  • 2018: Google Faculty Research Award (in Machine Perception): US$ 40.000.
  • 2018: Winner of the IEEE Signal Processing Cup - Prize: US$ 5.000.
  • 2018: IEEE Forensic Camera Model Identification Challenge – 3rd place (out of 582) on Kaggle - Prize: US$ 5.000.
  • 2018: Adversarial Attacks on Black Box Face Recognition Contest: 4th place (out of 22) on CodaLab - Prize: RUB 15.000.
  • 2017: Special Mention at Best Paper Awards to “PRNU-based forgery localization in a blind scenario”, International Conference on Image Analysis and Processing (ICIAP).
  • 2013: Winner of the IEEE Image Forensics Challenge - phase 2 (forgery localization) - Prize: US$ 1.750.
  • 2013: Winner of the IEEE Image Forensics Challenge - phase 1 (forgery detection) - Prize: US$ 1.500.
     

Professional Activities

Associate Editor for IEEE Transactions on Information Forensics and Security, since 2017.

Guest Editor for the following Special Issues:

  • “Data-driven Media Authentication and Forensics” for IEEE Journal of Selected Topics in Signal Processing, June 2019-present.
  • “Deep Learning for Remote Sensing” for MDPI Remote Sensing, Oct. 2017-Nov. 2018.
  • “Recent Advances in Multimedia Security” for Springer Multimedia Tools and Applications, Nov. 2016-June 2017.

Conference/Workshop/School Organizer

  • Co-Chair of the IEEE Workshop on Media-rich Fake News at ICME, London, July 2020,
  • Co-Chair of the IEEE CVPR Workshop on Media Forensics, Seattle (USA), June 2020,
  • Technical Program Co-Chair of the IEEE International Workshop on Information Forensics and Security (WIFS), Delft (NL), December 2019,
  • General Co-Chair of the ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC), Paris (FR), July 2019,
  • Tutorial Chair of the IEEE International Workshop on Information Forensics and Security (WIFS), Rennes (FR), 4-7 December 2017,
  • Co-Organizer of the 5th edition of the IEEE-EURASIP Summer School on Signal Processing (S3P) on the topic “Signal processing meets deep learning”, Capri (IT), 4-8 September 2017,
  • General Co-Chair of the First International Workshop on Recent Advances in Digital Security: Biometrics and Forensics (BioFor), Genoa (IT), 7 September 2015.

Area Chair at IEEE International Conference on Image Processing, since 2017.

Special Session organizer.

  • Together with Prof. J. Dittmann: “Media Forensics: Fake or Real?” at the ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC), July 2019.
  • Together with Prof. G. Boato: “Deep Learning for Multimedia Forensics” at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019.

Technical Program Committees.

  • IEEE International Conference on Image Processing (ICIP) 2015-2019,
  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015-2020
  • IEEE International Workshop on Information Forensics and Security (WIFS) 2016-2019
  • European Signal Processing Conference (EUSIPCO) 2014-2019,
  • ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC) 2017-2019,
  • IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2017-2019,
  • IEEE International Conference on Multimedia and Expo (ICME) 2020
  • International Conference on Image Analysis and Processing (ICIAP) 2017, 2019,
  • IEEE International Workshop on “Fake MultiMedia” (FakeMM) 2018, 2019,
  • 2nd International Workshop on Recent Advances in Digital Security: Biometrics and Forensics (BioFor) 2019,
  • IAPR/IEEE International Workshop on Biometrics and Forensics (IWBF) 2018,
  • International Conference on Digital Signal Processing (DSP) 2013-2017,
  • International Carnahan Conference on Security Technology (ICCST) 2017,
  • Multimedia Verification Workshop (MuVer) in conjunction with ACM Multimedia 2017,
  • 2nd Workshop on Multimedia Forensics and Security (MFSec) track in ACM ICMR Workshops 2017,
  • 1st International Conference on Landmine: Detection, Clearance and Legislations (LDCL) 2017,
  • 1st International Workshop on Web Multimedia Verification (WeMuV) in conjunction with IEEE ICME 2015.

Presentations

Invited Speaker at International Conferences/Workshops/Summer Schools

  • “Recent advances in Multimedia Forensics” Invited Speaker at the CVPR Workshop on Media Forensics, Long Beach (USA), 17 June 2019.
  • “Recent advances in Multimedia Forensics” Invited Speaker at the ICML Workshop on Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes, Long Beach (USA), 15 June 2019.
  • “New challenges in Multimedia Forensics” Invited Speaker at the DFRWS EU Workshop on Women in Forensic Computing, National Criminal Investigation Service (KRIPOS), Oslo (Norway), 24 April 2019.
  • “Recent advances in Multimedia Forensics” Invited Speaker at the IEEE WACV Workshop on Image and Video Forensics, Hawaii (USA), 11 January 2019.
  • “Security in Deep Learning: an application to Multimedia Forensics” Invited Speaker at the IEEE-Eurasip Summer School on Signal Processing, San Vincenzo, Livorno (IT), 13 September 2018.
  • “Recent advances in Multimedia Forensics” Keynote Speaker at the ECCV Workshop on Objectionable Content and Misinformation, Monaco (D), 8 September 2018.
  • “Recent advances in Multimedia Forensics” Invited Speaker at the SIGGRAPH Workshop on Truth in Images, Videos and Graphics, Vancouver (Canada), 12 August 2018.
  • “Deep Learning in Multimedia Forensics” Keynote Speaker at the ACM International Workshop on Information Hiding and Multimedia Security (IH&MMSec), Innsbruck (A), 21 June 2018.
  • “1st Image Forensics Challenge Phase 1: Forgery Detection and Phase 2: Forgery Localization,” IEEE International Workshop on Information Forensics and Security, Guangzhou (RC), 20 November 2013.

Tutorial presentation at International Conferences.

  • “Multimedia Forensics” (1.5 hours out of 3 hours) together with Dr. Paolo Bestagini at the ACM International Conference on Multimedia, Nice (F), 21 October 2019. Number of attendees: 50.
  • “Deep Learning for Multimedia Forensics” (3 hours) at the European Signal Processing Conference (Eusipco), Rome (I), 3 September 2018. Number of attendees: 30.


Invited Speaker at International/National Events

  • “Deepfake: a new era in disinformation”, IT Security Awareness talk on Artificial Intelligence at the European Central Bank, Frankfurt, 17 October 2019.
  • “Fake Multimedia nell’era dell’intelligenza artificiale”, Tavolo pluralismo e piattaforme online – giornate di formazione dedicate ai giornalisti - “Strumenti e metodi di contrasto alla disinformazione online” organized by AGCOM, Naples, 13 June 2019.
  • “Fake Multimedia nell’era dell’intelligenza artificiale”, Tavolo pluralismo e piattaforme online – giornate di formazione dedicate ai giornalisti - “Strumenti e metodi di contrasto alla disinformazione online” organized by AGCOM, Rome, 4 April 2019
  • “Detecting Fake Multimedia,” Second Meeting on fact-checking organized by AGCOM, Rome, 17 January 2019.
  • ARIADNETechNat Mentoringprogramm für Doktorandinnen und Postdoktorandinnen – Launch Event, Friedrich-Alexander-University, Erlangen (D), 25 October 2018,
  • “Scientific career planning and networking” Brown Bag Break, Friedrich-Alexander-University, Erlangen (D), 16 July 2018,
  • “Image manipulation detection,” ELT Workshop on Multimedia Forensics, Rome, 29 May 2017.
  • “Multimedia Forensics,” Pi Day, University Federico II of Naples, Naples (I), 4 April 2017,
  • “Blind image forgery localization: an anomaly detection perspective,” GTTI Thematic Meeting on Multimedia Signal Processing, Courmayer, 31 January 2017.

Invited Talks at Universities/Companies

  • “Media Forensics and DeepFakes”, Tech talk at Google AI, Google Plex, Mountain View (USA), 7 October 2019.
  • “Multimedia Forensics”, Apple Academy, Naples (I), 16 May 2019.
  • “A ‘deeper’ look in multimedia forensics,” Technical University of Munich, Munich (D), 20 July 2018.
  • “Single-image splicing detection and localization,” Binghamton University, NY (USA), 23 June 2017.
  • “Image Forensics: Digital Integrity Verification,” Friedrich-Alexander-University, Erlangen (D), 4 February 2016.


Research supervision

PhD student supervision.

  • Marco Castelluccio, 2015-2018, Co-supervised with Carlo Sansone
    “Improving software engineering processes using machine learning and data mining techniques”
  • Francesco Marra, 2014-2017, Co-supervised with Carlo Sansone
    “Source identification in image forensics”
  • Diego Gragnaniello, 2012-2015
    “Local image descriptors for biometric liveness detection”
  • Mariana Poderico, 2009-2011, Co-supervised with Giovanni Poggi
    “Denoising of SAR images”
  • Sara Parrilli, 2005-2008, Co-supervised with Giovanni Poggi
    “The problem of contours in transform image coding”

PhD visiting student supervision.

  • Sara Mandelli, 20 September 2017 – 2 November 2017
  • Patrick Mullan, 1 February 2017 – 31 March 2017

PostDoctoral researchers.

  • Francesco Marra, November 2017-present
  • Diego Gragnaniello, September 2017-present
  • Davide Cozzolino, May 2016 – June 2019

 
Awards obtained by students.

  • “Carlo Savy” Award for the Master Thesis “Development of algorithms to detect inpainting-based manipulated satellite images” by Giusi Lanera, 2018
  • AICA (Italian Association on Informatic and Automatic Computing) award for the PhD Thesis “Local image descriptors for biometric liveness detection” by Diego Gragnaniello, 2016
     

Teaching activities - University Federico II of Naples

 M.Sc. Courses.

  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2018/2019
  • Multimedia Signal Processing (6 CFU out of 9 CFU) Telecom. Engineering - 2017/2018
  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2016/2017
  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2014/2015
  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2013/2014
  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2012/2013
  • Multimedia Signal Processing (9 CFU) Telecom. Engineering - 2011/2012
  • Multimedia Signal Processing (6 CFU) Telecom. Engineering - 2009/2010
  • Multimedia Signal Processing (6 CFU) Telecom. Engineering - 2008/2009
  • Multimedia Signal Processing (6 CFU) Telecom. Engineering - 2007/2008
  • Multimedia Signal Processing (6 CFU) Telecom. Engineering - 2004/2005

B.Sc. Courses.

  • Signal Theory (9 CFU) Computer Engineering - 2018/2019
  • Signal Theory (9 CFU) Biomedical Engineering - 2014/2015
  • Telecommunications Laboratory (3 CFU) Telecom. Engineering - 2007/2008
  • Signal Theory (9 CFU) Telecom. Engineering - 2007/2008
  • Telecommunications Laboratory (3 CFU) Telecom. Engineering - 2006/2007
  • Signal Theory (9 CFU) Telecom. Engineering - 2006/2007
  • Signal Theory (6 CFU) Electronic Engineering - 2005/2006
  • Signal Theory (6 CFU) Electronic Engineering - 2004/2005
  • Signal Theory (6 CFU) Electronic Engineering - 2003/2004
  • Signal Theory (6 CFU) Electronic Engineering - 2002/2003
  • Signal Theory (6 CFU) Electronic Engineering - 2001/2002

Ph.D. Courses.

  • Deep Learning for Image Processing (10 h out of 20 h) – 2019
  • Wavelet and Filter Banks (16 h) – 2007


Other teaching activities

M.Sc. Courses.

  • Deep Learning in Multimedia Forensics (10 CFU) – FAU Erlangen (D) - 2018

Ph.D. Courses.

  • Deep Learning for Image Processing (10 h + 10 h) – University of Trento (I) – 2019

Students’ Evaluation at University Federico II of Naples

The following table reports the student’s evaluation of Luisa Verdoliva’s teaching quality, with reference to the average score for the question “Il docente espone gli argomenti in modo chiaro?” (Teaching Clarity).

Course Degree Ac. Year no. Answ. Score Reference Scale
Multimedia Signal Processing M.Sc. TLC 2017/18 14 1.29 0.91 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. ELN 2017/18 18 1.06 0.91 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. TLC 2016/17 11 1.32 0.90 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. ELN 2016/17 8 1.50 0.90 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. ELN 2015/16 10 1.40 0.88 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. TLC 2014/15 12 1.33 0.83 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. ELN 2014/15 9 1.17 0.83 (-1.50, 1.50)
Signal theory B.Sc. BIO 2014/15 109 1.33 0.83 (-1.50, 1.50)
Multimedia Signal Processing M.Sc. TLC+ELN 2011/12 20 6.80 5.34 (1,7)
Multimedia Signal Processing M.Sc. TLC+ELN 2009/10 47 6.40 5.29 (1,7)
Multimedia Signal Processing M.Sc. TLC+ELN 2008/09 51 6.38 5.21 (1,7)
Signal theory B.Sc. TLC 2007/08 86 6.48 5.21 (1,7)
Telecommunications Lab B.Sc. TLC 2007/08 41 6.29 5.21 (1,7)
Signal theory B.Sc. TLC 2006/07 138 5.80 5.15 (1,7)
Telecommunications Lab B.Sc. TLC 2006/07 26 5.85 5.15 (1,7)
Signal theory B.Sc. ELN 2005/06 96 5.26 4.94 (1,7)

Degree: TLC (Telecommunications Eng.), ELN (Electronic Eng.), BIO (Biomedical Eng.)
Reference: University median (since 2014/15) Engineering School average (before 2014/2015)