{"id":5253,"date":"2025-05-15T12:52:52","date_gmt":"2025-05-15T12:52:52","guid":{"rendered":"https:\/\/conferences.sigappfr.org\/wims2026\/?post_type=speaker&#038;p=5253"},"modified":"2026-01-13T14:31:05","modified_gmt":"2026-01-13T14:31:05","slug":"david-camacho","status":"publish","type":"speaker","link":"https:\/\/conferences.sigappfr.org\/wims2026\/speaker\/david-camacho\/","title":{"rendered":"David Camacho"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"260\" height=\"172\" src=\"https:\/\/conferences.sigappfr.org\/wims2026\/wp-content\/uploads\/2025\/05\/image-1.png\" alt=\"\" class=\"wp-image-5256\" style=\"width:334px;height:auto\"\/><\/figure>\n<\/div>\n\n\n<h1 class=\"wp-block-heading\">David Camacho<\/h1>\n\n\n\n<h4 class=\"wp-block-heading\">Professor at Universidad Polit\u00e9cnica de Madrid, Spain<\/h4>\n\n\n\n<p>David Camacho is Full Professor at Computer Systems Engineering Department of Universidad Polit\u00e9cnica de Madrid (UPM), he is the head of the Applied Intelligence and Data Analysis research group (AIDA: <a href=\"https:\/\/aida.etsisi.uam.es\">https:\/\/aida.etsisi.uam.es<\/a>), the Director of the PhD program in Computer Science and Technologies of Smart Cities, and the Director of the Master program in Machine Learning and Big Data &nbsp;at UPM. He has published more than 300 journals, books, and conference papers (<a href=\"https:\/\/scholar.google.es\/citations?hl=en&amp;user=fpf6EDAAAAA\">https:\/\/scholar.google.es\/citations?hl=en&amp;user=fpf6EDAAAAA<\/a>). His research interests include Machine Learning (Clustering\/Deep Learning), Computational Intelligence (Evolutionary Computation, Swarm Intelligence), Social Network Analysis, Fake News and Disinformation Analysis. He has participated\/led more than 60 AI-based R&amp;D projects (National and International: H2020, MCSA ITN-ETN, DG Justice, ISFP, NRF Korea), applied to real-world problems in areas as aeronautics, aerospace engineering, cybercrime\/cyber intelligence, social networks applications, disinformation countering, or video games among others. He serves as Editor in Chief of Expert Systems from 2023 and sits on the Editorial Board of several journals including Information Fusion, Human-centric Computing and Information Sciences (HCIS), and Cognitive Computation, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), among others. Contact at: <a href=\"mailto:David.Camacho@upm.es\">David.Camacho@upm.es<\/a><\/p>\n\n\n\n<p>Google Scholar: <a href=\"https:\/\/scholar.google.com\/citations?hl=es&amp;user=fpf6EDAAAAAJ\">https:\/\/scholar.google.com\/citations?hl=es&amp;user=fpf6EDAAAAAJ#<\/a><\/p>\n\n\n\n<p>ResearchGate: <a href=\"https:\/\/www.researchgate.net\/profile\/David-Camacho-12\">https:\/\/www.researchgate.net\/profile\/David-Camacho-12<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Title: <strong>Machine Learning for the Detection and Attribution of AI-Generated Images<\/strong><\/h2>\n\n\n\n<p>The rise of generative artificial intelligence models has led to significant advancements across various fields, but it has also introduced new risks associated with the creation of realistic synthetic images. These contents can be used to spread misinformation, manipulate narratives, or infringe on fundamental rights, particularly when they depict real people in fictitious contexts.<\/p>\n\n\n\n<p>This keynote explores the use of machine learning techniques, with a particular focus on contrastive learning, to address two key challenges: the detection of AI-generated images and the attribution of such images to their corresponding generative models. We propose an architecture based on Siamese networks and a combination of self-supervised and supervised learning, designed to enhance generalization to unseen generators during training (zero-shot learning). <\/p>\n\n\n\n<p>Experiments were conducted on large datasets containing both synthetic and real images, evaluating the model&#8217;s ability to detect artificial content as well as to identify its source. Additionally, explainability techniques (such as LIME) and latent representation visualizations were incorporated to support result interpretation and provide greater transparency in the classification process. The results demonstrate a significant improvement over traditional supervised models, especially in scenarios where new image generators are continuously emerging<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>David Camacho Professor at Universidad Polit\u00e9cnica de Madrid, Spain David Camacho is Full Professor at Computer Systems Engineering Department of Universidad Polit\u00e9cnica de Madrid (UPM), he is the head of the Applied Intelligence and Data Analysis research group (AIDA: https:\/\/aida.etsisi.uam.es),&#8230;<\/p>\n","protected":false},"author":2,"featured_media":5260,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"speaker-category":[141],"speaker-tags":[148,109],"location":[135,108],"class_list":["post-5253","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","speaker-category-keynote-speaker","speaker-tags-keynotes","speaker-tags-speaker","location-madrid","location-spain"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker\/5253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/types\/speaker"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/comments?post=5253"}],"version-history":[{"count":4,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker\/5253\/revisions"}],"predecessor-version":[{"id":5573,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker\/5253\/revisions\/5573"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/media\/5260"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/media?parent=5253"}],"wp:term":[{"taxonomy":"speaker-category","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker-category?post=5253"},{"taxonomy":"speaker-tags","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/speaker-tags?post=5253"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/wims2026\/wp-json\/wp\/v2\/location?post=5253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}