4 papers
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
Zichong Wang, Yang Zhou, David Lo +1
The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern. Addressing these fai…
A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment
Eduardo Baena, Han Yang, Dimitrios Koutsonikolas +1
Smart homes are increasingly populated with heterogeneous Internet of Things (IoT) devices that interact continuously with users and the environment. This diversity introduces crit…
Performance Analysis of Decentralized Federated Learning Deployments
Chengyan Jiang, Jiamin Fan, Talal Halabi +1
The widespread adoption of smartphones and smart wearable devices has led to the widespread use of Centralized Federated Learning (CFL) for training powerful machine learning model…
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang, Wenbin Zhang
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real wo…