AIMC Topic: Computer Security

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Enhancing the transferability of adversarial attacks via Scale Enriching.

Neural networks : the official journal of the International Neural Network Society
Deep learning models are vulnerable to adversarial attacks. Transfer-based adversarial examples are crafted against surrogate models and transferred to victim models. However, under the black-box settings, most adversaries have poor transferability o...

Key Considerations for Governing Safe and Responsible Use of AI in Healthcare.

Studies in health technology and informatics
This study explores the governance challenges and opportunities associated with the implementation and use of AI in healthcare, offering practical insights informed by extensive stakeholder interviews. By analyzing perspectives from academia, governm...

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!].

Urologie (Heidelberg, Germany)
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of techn...

Improving transferability of adversarial examples via statistical attribution-based attacks.

Neural networks : the official journal of the International Neural Network Society
Adversarial attacks are significant in uncovering vulnerabilities and assessing the robustness of deep neural networks (DNNs), offering profound insights into their internal mechanisms. Feature-level attacks, a potent approach, craft adversarial exam...

PrivCore: Multiplication-activation co-reduction for efficient private inference.

Neural networks : the official journal of the International Neural Network Society
The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private inference (PI) on the encrypted client-side data and server-side models with both privacy and accuracy guarantees, coming at the cost of orders of magnitud...

A hybrid PKI and spiking neural network approach for enhancing security and energy efficiency in IoMT-based healthcare 5.0.

SLAS technology
In the rapidly evolving field of healthcare 5.0, the Internet of Medical Things (IoMT) is expected to be an enabler that allows smart medical devices to collaborate and communicate with healthcare networks to speed up procedures, enhance care, and im...

A Trusted Medical Image Zero-Watermarking Scheme Based on DCNN and Hyperchaotic System.

IEEE journal of biomedical and health informatics
The zero-watermarking methods provide a means of lossless, which was adopted to protect medical image copyright requiring high integrity. However, most existing studies have only focused on robustness and there has been little discussion about the an...

Towards Semantic Interoperability Health Standardization Recommendation Tool.

Studies in health technology and informatics
The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to standardization efforts in different technological domains. Artificial Intelligence (AI), security, and cybersecurity are at the top of the agenda of th...

Enhancing Trust by a Keycloak-Flower Integration for Federated Machine Learning.

Studies in health technology and informatics
Since its introduction, federated learning (FL) has attracted a lot of attention in the medical field, but its actual application in healthcare organisations remains limited. Flower is a leading FL framework known for its good documentation and wide ...

Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

Studies in health technology and informatics
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...