Ethics

Redundancy Is All You Need

The seminal work of Bencz\'ur and Karger demonstrated cut sparsifiers of near-linear size, with several applications throughout theoretical computer science. Subsequent extensions have yielded sparsifiers for hypergraph cuts and more recently linear codes over Abelian groups. A decade ago, Kogan and Krauthgamer asked about the sparsifiability of arbitrary constraint satisfaction problems (CSPs)....

Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering

Combating money laundering has become increasingly complex with the rise of cybercrime and digitalization of financial transactions. Graph-based machine learning techniques have emerged as promising tools for Anti-Money Laundering (AML) detection, capturing intricate relationships within money laundering networks. However, the effectiveness of AML solutions is hindered by data silos within finan...

Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption

The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for ensuring both effective medical diagnosis and pat...

ECG-PPS: Privacy Preserving Disease Diagnosis and Monitoring System for Real-Time ECG Signal

This study introduces the development of a state of the art, real time ECG monitoring and analysis system, incorporating cutting edge medical techno...

Process-Informed Neural Networks: A Hybrid Modelling Approach to Improve Predictive Performance and Inference of Neural Networks in Ecology and Beyond.

Despite deep learning being state of the art for data-driven model predictions, its application in ecology is currently subject to two important const...

Imprompter: Tricking LLM Agents into Improper Tool Use

Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machine learning with tools such as code interpreters, w...

Lecture II: Communicative Justice and the Distribution of Attention

Algorithmic intermediaries govern the digital public sphere through their architectures, amplification algorithms, and moderation practices. In doin...

Toleo: Scaling Freshness to Tera-scale Memory using CXL and PIM

Trusted hardware's freshness guarantee ensures that an adversary cannot replay an old value in response to a memory read request. They rely on maint...

A Comparative Analysis on Ethical Benchmarking in Large Language Models

This work contributes to the field of Machine Ethics (ME) benchmarking, which develops tests to assess whether intelligent systems accurately repres...

Confidential Prompting: Protecting User Prompts from Cloud LLM Providers

Our work tackles the challenge of securing user inputs in cloud-hosted large language model (LLM) serving while ensuring model confidentiality, outp...

Secure Extraction of Personal Information from EHR by Federated Machine Learning.

Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs) presents significant privacy and security challen...

A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases.

This study explores the potential of federated learning (FL) to develop a predictive model of hypoxemia in intensive care unit (ICU) patients. Central...

Physics-informed graph neural networks for flow field estimation in carotid arteries

Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement ...

Generative artificial intelligence and the personalization of health professional education: A narrative review.

This narrative review examined the intersection of generative artificial intelligence (GAI) and the personalization of health professional education (...

A health-conformant reading of the GDPR's right not to be subject to automated decision-making.

As the use of Artificial Intelligence (AI) technologies in healthcare is expanding, patients in the European Union (EU) are increasingly subjected to ...

Self-Sovereign Identity for Consented and Content-Based Access to Medical Records using Blockchain

Electronic Health Records (EHRs) and Medical Data are classified as personal data in every privacy law, meaning that any related service that includ...

The EU-US Data Privacy Framework: Is the Dragon Eating its Own Tail?

The European Commission adequacy decision on the EU US Data Privacy Framework, adopted on July 10th, 2023, marks a crucial moment in transatlantic d...

Using Generative AI to Translate Administrative Claims Data into Narrative Summaries for Palliative Care Needs Assessment: A Case Study.

Community-based palliative care is a useful, but underutilized service to support seriously ill older adults to remain safely at home and improve qual...

Whose Knowledge is Valued?: Epistemic Injustice in CSCW Applications

Social computing scholars have long known that people do not interact with knowledge in straightforward ways, especially in digital environments. Wh...

Biofabrication of Living Actuators.

The impact of tissue engineering has extended beyond a traditional focus in medicine to the rapidly growing realm of biohybrid robotics. Leveraging li...