David Sánchez
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View article: El proceso de radicalización de la célula terrorista del 17-A, o cómo el extremismo puede dejar su huella en el lenguaje
El proceso de radicalización de la célula terrorista del 17-A, o cómo el extremismo puede dejar su huella en el lenguaje Open
En agosto de 2017, un grupo de jóvenes de Ripoll, conocidos como la célula del 17-A, llevó a cabo dos atentados terroristas en Barcelona y Cambrils, España, que causó la muerte de 16 personas y dejó más de un centenar de heridos. En un int…
View article: Enhancing DESI DR1 full-shape analyses using HOD-informed priors
Enhancing DESI DR1 full-shape analyses using HOD-informed priors Open
We present an analysis of DESI Data Release 1 (DR1) that incorporates Halo Occupation Distribution (HOD)-informed priors into Full-Shape (FS) modeling of the power spectrum based on cosmological perturbation theory (PT). By leveraging phys…
View article: Truthful text sanitization guided by inference attacks
Truthful text sanitization guided by inference attacks Open
View article: Statistical Disclosure Control: Moving Forward
Statistical Disclosure Control: Moving Forward Open
View article: DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs
DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs Open
View article: Digital forgetting in large language models: a survey of unlearning methods
Digital forgetting in large language models: a survey of unlearning methods Open
Large language models (LLMs) have become the state of the art in natural language processing. The massive adoption of generative LLMs and the capabilities they have shown have prompted public concerns regarding their impact on the labor ma…
View article: Protecting Vulnerable Respondents: A Critical Analysis of the Privacy-Preserving Methods of the 2010 and 2020 Decennial Census
Protecting Vulnerable Respondents: A Critical Analysis of the Privacy-Preserving Methods of the 2010 and 2020 Decennial Census Open
This paper offers a comprehensive analysis of the statistical disclosure limitation (SDL) methodologies employed by the U.S. Census Bureau on the 2010 and 2020 Decennial Census releases under the perspective of the disclosure risk of the m…
View article: Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks Open
Human facial data offers valuable potential for tackling classification problems, including face recognition, age estimation, gender identification, emotion analysis, and race classification. However, recent privacy regulations, particular…
View article: Differential Privacy in Practice: Lessons Learned From 10 Years of Real-World Applications
Differential Privacy in Practice: Lessons Learned From 10 Years of Real-World Applications Open
International audience
View article: Comparative analysis of useful life and depreciation using a polymer drum and an aluminum drum in a sanding machine as a continuous improvement in fine finishing of wood
Comparative analysis of useful life and depreciation using a polymer drum and an aluminum drum in a sanding machine as a continuous improvement in fine finishing of wood Open
We live in a globalized world in which production in the business productive sector must assume competitive quality. One of the key elements to achieve this goal are fixed assets since they constitute a substantial part of the productive a…
View article: Truthful Text Sanitization Guided by Inference Attacks
Truthful Text Sanitization Guided by Inference Attacks Open
Text sanitization aims to rewrite parts of a document to prevent disclosure of personal information. The central challenge of text sanitization is to strike a balance between privacy protection (avoiding the leakage of personal information…
View article: Trends in the epidemiology of pertussis in Malaga, Spain (2017-2024)
Trends in the epidemiology of pertussis in Malaga, Spain (2017-2024) Open
An increase in reported pertussis cases is observed in early 2024 in Malaga, but hospitalization rates among confirmed cases remained stable. A significant association is found between prior vaccination against pertussis and reduced diseas…
View article: Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack
Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack Open
The availability of textual data depicting human-centered features and behaviors is crucial for many data mining and machine learning tasks. However, data containing personal information should be anonymized prior making them available for…
View article: GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning Open
The increasing spread of artificial intelligence applications has led to decentralized frameworks that foster collaborative model training among multiple entities. One of such frameworks is federated learning, which ensures data availabili…
View article: Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
Digital Forgetting in Large Language Models: A Survey of Unlearning Methods Open
The objective of digital forgetting is, given a model with undesirable knowledge or behavior, obtain a new model where the detected issues are no longer present. The motivations for forgetting include privacy protection, copyright protecti…
View article: The counterfactual framework in Jarmin et al. is not a measure of disclosure risk of respondents
The counterfactual framework in Jarmin et al. is not a measure of disclosure risk of respondents Open
Due to its small size and lifelong optical transparency, the fish Danionella cerebrum is an emerging model organism in biomedical research. How can this small vertebrate under 12 mm length produce sounds over 140 dB? We found that it posse…
View article: Multi-Task Faces (Mtf) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Multi-Task Faces (Mtf) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks Open
View article: Conciliating Privacy and Utility in Data Releases via Individual Differential Privacy and Microaggregation
Conciliating Privacy and Utility in Data Releases via Individual Differential Privacy and Microaggregation Open
$ε$-Differential privacy (DP) is a well-known privacy model that offers strong privacy guarantees. However, when applied to data releases, DP significantly deteriorates the analytical utility of the protected outcomes. To keep data utility…
View article: General purpose programmable photonic processor for advanced radiofrequency applications
General purpose programmable photonic processor for advanced radiofrequency applications Open
Programmable photonic circuits manipulate the flow of light on a chip by electrically controlling a set of tunable analog gates connected by optical waveguides 1,2. Light is distributed and spatially rerouted to implement variou…
View article: Secure, accurate and privacy-aware fully decentralized learning via co-utility
Secure, accurate and privacy-aware fully decentralized learning via co-utility Open
Fully decentralized learning is a setting in which each peer in a P2P network trains a machine learning model with the help of the other peers. Each peer acts as a model manager by periodically sending her current model to other peers, who…
View article: Confidence-ranked reconstruction of census records from aggregate statistics fails to capture privacy risks and reidentifiability
Confidence-ranked reconstruction of census records from aggregate statistics fails to capture privacy risks and reidentifiability Open
View article: Enhancing Efficiency and Data Utility in Longitudinal Data Anonymization
Enhancing Efficiency and Data Utility in Longitudinal Data Anonymization Open
View article: Fragile X Messenger Ribonucleoprotein 1 (FMR1), a novel inhibitor of osteoblast/osteocyte differentiation, regulates bone formation, mass, and strength in young and aged male and female mice.
Fragile X Messenger Ribonucleoprotein 1 (FMR1), a novel inhibitor of osteoblast/osteocyte differentiation, regulates bone formation, mass, and strength in young and aged male and female mice. Open
Fragile X Messenger Ribonucleoprotein 1 (FMR1) gene premutations lead to fragile X syndrome, cognitive disorders, and, in some individuals, scoliosis and craniofacial abnormalities. Four-month-old male FMR1-deficient mice exhibit a mild in…
View article: Enhanced Security and Privacy via Fragmented Federated Learning
Enhanced Security and Privacy via Fragmented Federated Learning Open
In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconciling accuracy with privacy and security is a challenge to FL.…
View article: Decentralized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e343" altimg="si7.svg"><mml:mi>k</mml:mi></mml:math>-anonymization of trajectories via privacy-preserving tit-for-tat
Decentralized -anonymization of trajectories via privacy-preserving tit-for-tat Open
Mobility data, and specifically trajectories, are used to monitor the mobility of the population and are crucial to improve public health, transportation, urban planning, economic planning, etc. However, trajectories are personally identif…
View article: Explaining predictions and attacks in federated learning via random forests
Explaining predictions and attacks in federated learning via random forests Open
Artificial intelligence (AI) is used for various purposes that are critical to human life. However, most state-of-the-art AI algorithms are black-box models, which means that humans cannot understand how such models make decisions. To fore…
View article: Ordinal analysis of lexical patterns
Ordinal analysis of lexical patterns Open
The Bible in 11 languages and a historical corpus of English works
View article: The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization Open
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a text document to prevent the disclosure of personal informatio…
View article: Achieving security and privacy in federated learning systems: Survey, research challenges and future directions
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions Open
View article: Secure and Privacy-Preserving Federated Learning via Co-Utility
Secure and Privacy-Preserving Federated Learning via Co-Utility Open
The decentralized nature of federated learning, that often leverages the power of edge devices, makes it vulnerable to attacks against privacy and security. The privacy risk for a peer is that the model update she computes on her private d…