Applications of blockchain in ensuring the security and privacy of electronic health record systems: A survey

S Shi, D He, L Li, N Kumar, MK Khan, KKR Choo - Computers & security, 2020 - Elsevier
Due to the popularity of blockchain, there have been many proposed applications of
blockchain in the healthcare sector, such as electronic health record (EHR) systems …

The threat of offensive ai to organizations

Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei… - Computers & …, 2023 - Elsevier
AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection

J Lan, X Liu, B Li, J Sun, B Li, J Zhao - Computers & Security, 2022 - Elsevier
With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

Deconstructing search tasks in interactive information retrieval: A systematic review of task dimensions and predictors

J Liu - Information Processing & Management, 2021 - Elsevier
Increasingly, users are interacting with information retrieval (IR) systems with the goal of
addressing complex, ill-defined search tasks. As a result, the interest in deconstructing and …

Using polymer EOR to reduce carbon intensity while increasing oil recovery

G Dupuis, P Al-Khoury, J Nieuwerf, C Favero - IOR 2021, 2021 - earthdoc.org
Reducing the carbon footprint during crude oil extraction is a growing challenge among
operators and regulatory institutions. Sustainable solutions need to be implemented for …

FECC: DNS tunnel detection model based on CNN and clustering

J Liang, S Wang, S Zhao, S Chen - Computers & Security, 2023 - Elsevier
As the basic service of the network, the Domain Name System (DNS) is almost never
blocked by the firewall. DNS tunnel takes advantage of this feature of DNS service to …

Toward Cranfield-inspired reusability assessment in interactive information retrieval evaluation

J Liu - Information Processing & Management, 2022 - Elsevier
Re-using research resources is essential for advancing knowledge and developing
repeatable, empirically solid experiments in scientific fields, including interactive information …

Self-supervised knowledge distillation for complementary label learning

J Liu, B Li, M Lei, Y Shi - Neural Networks, 2022 - Elsevier
In this paper, we tackle a new learning paradigm called learning from complementary labels,
where the training data specifies classes that instances do not belong to, instead of the …

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector

R Shang, W Li, S Zhu, L Jiao, Y Li - Neural Networks, 2023 - Elsevier
Abstract Knowledge distillation (KD) has been widely used in model compression. But, in the
current multi-teacher KD algorithms, the student can only passively acquire the knowledge …

Implicit information need as explicit problems, help, and behavioral signals

S Sarkar, M Mitsui, J Liu, C Shah - Information Processing & Management, 2020 - Elsevier
Abstract Information need is one of the most fundamental aspects of information seeking,
which traditionally conceptualizes as the initiation phase of an individual's information …