Results 51 to 60 of about 54,744 (297)
Digital Identities and Verifiable Credentials [PDF]
, 2021 peer reviewedPublic institutions and companies typically employ physical credentials (such as passports, social security cards, and employee badges) to identify individuals. Individuals can choose where to store their physical credentials, and sometimes,
Sedlmeir, Johannes +11 more
core +1 more source
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
CoRRFact verification is essential for ensuring the reliability of LLM applications. In this study, we evaluate 12 pre-trained LLMs and one specialized fact-verifier, including frontier LLMs and open-weight reasoning LLMs, using a collection of examples from 14 fact-checking benchmarks.
Wooseok Seo +8 more
openaire +3 more sources
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
A Secure and Verifiable Blockchain-Based Framework for Personal Data Validation
ComputersThe online services provided by the Service Provider (SP) have brought significant convenience to people’s lives. Nowadays, people have grown accustomed to obtaining diverse services via the Internet. However, some SP utilize or even tamper with personal
Junyan Yu, Ximing Li, Yubin Guo
doaj +1 more source
Incentivizing Verifiable Privacy-Protection Mechanisms for Offline Crowdsensing Applications
Sensors, 2017 Incentive mechanisms of crowdsensing have recently been intensively explored. Most of these mechanisms mainly focus on the standard economical goals like truthfulness and utility maximization.
Jiajun Sun, Ningzhong Liu
doaj +1 more source
VeriFi: Towards Verifiable Federated Unlearning
IEEE Transactions on Dependable and Secure ComputingFederated learning (FL) is a collaborative learning paradigm where participants jointly train a powerful model without sharing their private data. One desirable property for FL is the implementation of the right to be forgotten (RTBF), i.e., a leaving participant has the right to request to delete its private data from the global model.
Xiangshan Gao +7 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
Blockchains : Decentralized and Verifiable Data Systems
, 2022 Blockchains : Decentralized and Verifiable Data ...
Gang Chen (107840) +4 more
core
A Minimal Information Set To Enable Verifiable Theoretical Battery Research
, 2021 A Minimal Information Set To Enable Verifiable Theoretical Battery ...
Venkatasubramanian Viswanathan (1289568) +57 more
core +1 more source
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source