Filtragem e Análise de Proveniência

• Grant number: 20/02211-2
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Start date: May 01, 2020
• End date: November 30, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Anderson de Rezende Rocha
• Grantee: João Phillipe Cardenuto
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 17/12646-3 - DéjàVu: Feature-Space-Time Coherence from Heterogeneous Data for Media Integrity Analytics and Interpretation of Events, AP.TEM

Abstract

In this research, we are mainly aimed at answering the question of how to find possible relationships among images from different moments in time (e.g., how different image pieces contribute to create a composite one). This research will allow the development of a series of solutions to analyze the provenance of a visual asset allowing us to check its veracity and to pinpoint the pieces that contributed to its creation process in the case of a composite/fake. Such tools will be invaluable for evaluating how different media objects are related digitally and physically, analyzing group dynamics, and even fact-checking published news articles using their pictures as a proxy for veracity checking against fake news.

Scientific publications

(5)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

CARDENUTO, JOAO PHILLIPE; MOREIRA, DANIEL; ROCHA, ANDERSON. Unveiling scientific articles from paper mills with provenance analysis. PLoS One, v. 19, n. 10, p. 28-pg., 2024-10-30. (23/12865-8, 20/02211-2)

CARDENUTO, JOAO P.; MANDELLI, SARA; MOREIRA, DANIEL; BESTAGINI, PAOLO; DELP, EDWARD; ROCHA, ANDERSON. Explainable Artifacts for Synthetic Western Blot Source Attribution. 2024 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY, WIFS 2024, v. N/A, p. 6-pg., 2024-01-01. (23/12865-8, 20/02211-2)

NASCIMENTO, JOSE; CARDENUTO, JOAO PHILLIPE; YANG, JING; ROCHA, ANDERSON; IEEE. Few-shot Learning for Multi-modal Social Media Event Filtering. 2022 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS), v. N/A, p. 6-pg., 2022-01-01. (17/12646-3, 20/02241-9, 20/02211-2, 19/04053-8)

CARDENUTO, JOAO P.; ROCHA, ANDERSON. Benchmarking Scientific Image Forgery Detectors. SCIENCE AND ENGINEERING ETHICS, v. 28, n. 4, p. 38-pg., 2022-08-01. (17/12646-3, 20/02211-2)

CARDENUTO, JOAO PHILLIPE; YANG, JING; PADILHA, RAFAEL; WAN, RENJIE; MOREIRA, DANIEL; LI, HAOLIANG; WANG, SHIQI; ANDALO, FERNANDA; MARCEL, SEBASTIEN; ROCHA, ANDERSON. The Age of Synthetic Realities: Challenges and Opportunities. APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING, v. 12, n. 1, p. 62-pg., 2023-01-01. (22/05002-0, 17/12646-3, 19/04053-8, 20/02211-2)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

CARDENUTO, João Phillipe. Fortalecendo a integridade científica: análise forense digital para imagens de pesquisa biomédica. 2024. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Computação Campinas, SP.