Towards Safe, Secure, and Usable LLMs4Code

Large Language Models (LLMs) are gaining popularity in the field of Natural Language Processing (NLP) due to their remarkable accuracy in various NLP tasks. LLMs designed for coding are trained on massive datasets, which enables them to learn the structure and syntax of programming languages. These datasets are scraped from the web and LLMs...

Verifiable Credentials with Privacy-Preserving Tamper-Evident Revocation Mechanism

Verifiable Credential (VC) is a new standard proposed by the W3C association to facilitate the expression and verification of third-party-verified credentials on the Internet, such as passports or diplomas. However, the current VC data model lacks an explicit revocation design that guarantees the secure operations of the system, which limits its...

Interior design features predicting satisfaction with office workspace privacy and noise

Background and aim - Lack of privacy is a prominent issue in contemporary offices. This study aimed to identify interior design features that jointly influence satisfaction with privacy and noise in the office workspace, and estimate their predictive power. This knowledge can inform strategic workplace design. Methods - Eight design features...

Interior design features predicting satisfaction with office workspace privacy and noise

Background and aim – Lack of privacy is a prominent issue in contemporary offices. This study aimed to identify interior design features that jointly influence satisfaction with privacy and noise in the office workspace, and estimate their predictive power. This knowledge can inform strategic workplace design.<br/>Methods – Eight design features...

Workplace affordances of social well-being: a conceptual framework

The prolonged working from home during the recent pandemic has increased awareness of the social function of the office: employees missed informal social interaction with co-workers, face-to-face meetings, and spontaneous encounters. If the trend of hybrid working persists, one of the main functions of the physical office will be to support face...

Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization

Both communication overhead and privacy are main concerns in designing distributed computing algorithms. It is very challenging to address them simultaneously as encryption methods required for privacy-preservation often incur high communication costs. In this paper, we argue that there is a fundamental link between communication efficiency...

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

In an age of surveillance capitalism, anchoring the design of emerging smart services in trustworthiness is urgent and important. Edge Intelligence, which brings together the fields of AI and Edge computing, is a key enabling technology for smart services. Trustworthy Edge Intelligence should thus be a priority research concern. However,...

Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation

Over the past decades, privacy-preservation has received considerable attention, not only as a consequence of regulations such as the General Data Protection Regulation in the EU, but also from the fact that people are more concerned about data abuse as the world is becoming increasingly digitized. In this paper we propose a convex optimization...

Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks

In many applications of wireless sensor networks, it is important that the privacy of the nodes of the network be protected. Therefore, privacy-preserving algorithms have received quite some attention recently. In this paper, we propose a novel convex optimization-based solution to the problem of privacy-preserving distributed average consensus....

Opening More Data: A New Privacy Risk Scoring Model for Open Data

While the opening of data has become a common practice for both governments and companies, many datasets are still not published since they might violate privacy regulations. The risk on privacy violations is a factor that often blocks the publication of data and results in a reserved attitude of governments and companies. Additionally, even...

Sharing Information in Teams: Giving Up Privacy or Compromising on Team Performance?

Human teamwork can be supported by agent technology by providing each human team member with an agent that monitors, supports and advices the human. The agent can, for example, monitor the human’s workload, and share that information with (agents of) other team members so that work can be distributed effectively. However, though sharing...

Signs and symbols of the domestic façade in the city: Changes, confusion or decline?

In a time in which 50% of the world inhabitants live in an urban context, a percentage that will definitely even grow, it is important to ask whether the residential building within daily public and anonymous city life still has the quality of privacy and identity of a ‘home’. The on-going PhD research “The façade as an intermediary element...

The effects of a Task facilitating Working Environment on office space use, communication, concentration, collaboration, privacy and distraction