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06/10/2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners
Vertical Federated Learning (VFL) refers to the collaborative training o...
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03/17/2021
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Federated Generative Adversarial Network (FedGAN) is a communication-eff...
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12/10/2020
Investigating Bias in Image Classification using Model Explanations
We evaluated whether model explanations could efficiently detect bias in...
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10/22/2020
DPD-InfoGAN: Differentially Private Distributed InfoGAN
Generative Adversarial Networks (GANs) are deep learning architectures c...
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07/08/2020
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Federated learning enables the development of a machine learning model a...
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02/19/2020
PrivacyFL: A simulator for privacy-preserving and secure federated learning
Federated learning is a technique that enables distributed clients to co...
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01/08/2020
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
New consent management platforms (CMPs) have been introduced to the web ...
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05/31/2018
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
There has recently been a surge of work in explanatory artificial intell...
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04/27/2018
Enforceable Data Sharing Agreements Using Smart Contracts
As more and more data is collected for various reasons, the sharing of s...
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11/15/2016