Results 61 to 70 of about 1,840,684 (372)
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Differentially Private Empirical Risk Minimization [PDF]
, 2011 Privacy-preserving machine learning algorithms are crucial for the increasingly common setting in which personal data, such as medical or financial records, are analyzed.
Anand D. Sarwate +3 more
core +2 more sources
Privacy Preserving Utility Mining: A Survey
, 2018 In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore these ubiquitous data, which may be collected from various fields and ...
Chao, Han-Chieh +4 more
core +1 more source
Privacy-Preserving Federated Deep Learning With Irregular Users
IEEE Transactions on Dependable and Secure Computing, 2022 Federated deep learning has been widely used in various fields. To protect data privacy, many privacy-preservingapproaches have been designed and implemented in various scenarios.
Guowen Xu +5 more
semanticscholar +1 more source
Privacy-preserving email forensics
Digital Investigation, 2015 AbstractIn many digital forensic investigations, email data needs to be analyzed. However, this poses a threat to the privacy of the individual whose emails are being examined and in particular becomes a problem if the investigation clashes with privacy laws.
Armknecht, Frederik, Dewald, Andreas
openaire +2 more sources
Privacy-Preserving Technologies [PDF]
, 2020 AbstractThis chapter introduces privacy and data protection by design, and reviews privacy-enhancing techniques (PETs). Although privacy by design includes both technical and operational measures, the chapter focuses on the technical measures. First, it enumerates design strategies.
Josep Domingo-Ferrer +1 more
openaire +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Secure Outsourcing Algorithm of BTC Feature Extraction in Cloud Computing
IEEE Access, 2020 Advances in cloud computing have aroused many researchers' interest in privacy-preserving feature extraction over outsourced multimedia data, especially private image data. Since block truncation coding (BTC) is known as a simple and efficient technology
Mingfang Jiang, Hengfu Yang
doaj +1 more source
Secure and Privacy-Preserving Average Consensus
, 2017 Average consensus is fundamental for distributed systems since it underpins key functionalities of such systems ranging from distributed information fusion, decision-making, to decentralized control.
Ahmad, Muaz +2 more
core +1 more source
Privacy-Preserving Techniques in Generative AI and Large Language Models: A Narrative Review
Inf.Generative AI, including large language models (LLMs), has transformed the paradigm of data generation and creative content, but this progress raises critical privacy concerns, especially when models are trained on sensitive data.
G. Feretzakis +3 more
semanticscholar +1 more source