33 citations · 75 across the 6 of their papers we have counts for
6 papers
Brazilian Social Media Anti-vaccine Information Disorder Dataset -- Telegram (2020-2025)
João Phillipe Cardenuto, Ana Carolina Monari, Michelle Diniz Lopes +2
Over the past decade, Brazil has experienced a decline in vaccination coverage, reversing decades of public health progress achieved through the National Immunization Program (PNI)…
Explainable Artifacts for Synthetic Western Blot Source Attribution
João Phillipe Cardenuto, Sara Mandelli, Daniel Moreira +3
Recent advancements in artificial intelligence have enabled generative models to produce synthetic scientific images that are indistinguishable from pristine ones, posing a challen…
The Age of Synthetic Realities: Challenges and Opportunities
João Phillipe Cardenuto, Jing Yang, Rafael Padilha +7
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of…
Few-shot Learning for Multi-modal Social Media Event Filtering
José Nascimento, João Phillipe Cardenuto, Jing Yang +1
Social media has become an important data source for event analysis. When collecting this type of data, most contain no useful information to a target event. Thus, it is essential…
Forensic Analysis of Synthetically Generated Western Blot Images
Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas +8
The widespread diffusion of synthetically generated content is a serious threat that needs urgent countermeasures. As a matter of fact, the generation of synthetic content is not r…
Benchmarking Scientific Image Forgery Detectors
João P. Cardenuto, Anderson Rocha
The scientific image integrity area presents a challenging research bottleneck, the lack of available datasets to design and evaluate forensic techniques. Its data sensitivity crea…