Results 131 to 140 of about 64,907 (298)

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Study on utility optimization for randomized response mechanism

Tongxin xuebao, 2019
For the study of privacy-utility trade-off in local differential privacy,the utility optimization models of binary generalized random response mechanism for the case of differential privacy and approximate differential privacy were established.By graphic
Yihui ZHOU, Laifeng LU, Zhenqiang WU
doaj   +2 more sources

Evaluation of auditing mechanisms for differential privacy

openLa Differential Privacy (DP) è una tecnica fondamentale per garantire la riservatezza dei dati sensibili, introducendo rumore controllato nei risultati delle analisi.
PJETRI, ERIK
core  

Differential privacy and SPARQL

Semantic Web
Differential privacy is a framework that provides formal tools to develop algorithms to access databases and answer statistical queries with quantifiable accuracy and privacy guarantees. The notions of differential privacy are defined independently of the data model and the query language at steak.
Dumontier, Michel, Kirrane, Sabrina, Seneviratne, Oshani, Buil-Aranda, Carlos, Lobo, Jorge, Olmedo, Federico   +5 more
openaire   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source

Transparent government, not transparent citizens: a report on privacy and transparency for the Cabinet Office

, 2011
1. Privacy is extremely important to transparency. The political legitimacy of a transparency programme will depend crucially on its ability to retain public confidence.
O'Hara, Kieron, Cabinet Office
core  

RAG with Differential Privacy

2025 IEEE Conference on Artificial Intelligence (CAI)
Retrieval-Augmented Generation (RAG) has emerged as the dominant technique to provide \emph{Large Language Models} (LLM) with fresh and relevant context, mitigating the risk of hallucinations and improving the overall quality of responses in environments with large and fast moving knowledge bases. However, the integration of external documents into the
openaire   +2 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Differential Privacy mechanisms: theory and application with OpenDP

openLa raccolta e l'analisi di grandi moli di dati costituiscono oggi una risorsa essenziale in numerosi ambiti applicativi e scientifici. Tuttavia l'utilizzo di dati particolari solleva importanti problematiche legate alla tutela della privacy ...
SORGATO, ENRICO
core  

On the Meaning and Limits of Empirical Differential Privacy

, 2017
Empirical differential privacy (EDP) has been proposed as an alternative to differential privacy (DP), with the important advantages that the procedure can be applied to any bayesian model and requires less technical work from the part of the user. While
Yiwei Hou, Anne-Sophie Charest
core   +1 more source