Vertical Federated Learning (VFL) is becoming a standard collaborative learning paradigm with various practical applications. Randomness is essential to enhancing privacy in VFL, but introducing too much external randomness often leads to an ...

Although internet access and affordability are increasingly at the center of policy decisions around issues of the “digital divide” in the US, the complex nature of usage as it relates to structural inequality is not well-understood. We partnered with ...

Sharing facial pictures through online services, especially on social networks, has become a common habit for thousands of users. This practice hides a possible threat to privacy: the owners of such services, as well as malicious users, could ...

Wearable cameras provide an objective method to visually confirm and automate the detection of health-risk behaviors such as smoking and overeating, which is critical for developing and testing adaptive treatment interventions. Despite the potential of ...

Development of blockchain smart contracts is more difficult than mainstream software development, because the underlying blockchain infrastructure poses additional complexity. To ease the developer's task of writing smart contract, we use Business Process ...

This position article summarizes the panelists’ presentations and discussions at the panel “Fake News, Misinformation, and Privacy: How COVID-19 Pandemic Changed Our Society,” held at the 15th International Conference on Information Resources Management (...

Generative Artificial Intelligence, also known as Generative AI has enhanced the capabilities of what is known to be AI to the world by its capability to generate text, image, or other forms of media through the extensive use of Large Language ...

Collaborative fairness stands as an essential element in federated learning to encourage client participation by equitably distributing rewards based on individual contributions. Existing methods primarily focus on adjusting gradient allocations among ...

Graph Neural Networks (GNNs) have been increasingly deployed in a plethora of applications. However, the graph data used for training may contain sensitive personal information of the involved individuals. Once trained, GNNs typically encode such ...

Privacy policies have disrupted the multi-billion dollar online advertising market by making real-time and precise user data untraceable, which poses significant challenges to the optimization of Return-On-Investment (ROI) constrained products in the ...

With the advent of Bitcoin, a cryptographically-enabled peer-to-peer digital payment system, blockchain together with a whole package of distributed ledger technologies, which serve as the underlying foundation of all the crypto-currencies, have been ...

With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes domains, ensuring the trustworthiness, safety, and observability of these systems has become crucial. It is essential to evaluate and monitor AI systems not only ...

The introduction of robotic technology in the context of elderly care poses new privacy challenges. We conducted a systematic literature review of publications from 2010 to mid-2023, focusing on privacy-related concerns and efforts to resolve privacy ...

With traditional summative exams students’ identities are often hidden from the examiners. However, achieving anonymity can be challenging with portfolio and coursework-based assessments. This study was motivated by a discussion of whether ...

Graph embedding converts a graph data into a low dimensional space to preserve the original graph information. However, graph data can be reconstructed by malicious adversaries to train machine learning models from graph embeddings. This paper studies to ...

Timeline of FERPA legislation, case law related to it, and computing technologies

Hyperdimensional Computing (HDC) represents an emerging paradigm within the domain of cognitive computing, inspired by the information processing mechanisms observed in the human brain. Despite the research efforts devoted to improving and extending HDC ...

Data from multi-modal sensors, such as RGB cameras, thermal cameras, microphones, and mmWave radars, have gradually been adopted in various classification problems for better accuracy. Some sensors, like RGB cameras and microphones, however, capture ...

Social media content can be considered an unprecedented historical resource that reflects present-day ordinary life. However, although private data are publicly available on social media, the preserving of such personal content by a third party entails ...