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06/14/2023
Your Email Address Holds the Key: Understanding the Connection Between Email and Password Security with Deep Learning
In this work, we investigate the effectiveness of deep-learning-based pa...
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03/07/2023
Can Decentralized Learning be more robust than Federated Learning?
Decentralized Learning (DL) is a peer–to–peer learning approach that all...
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01/18/2023
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
We develop the first universal password model – a password model that, o...
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05/17/2022
On the Privacy of Decentralized Machine Learning
In this work, we carry out the first, in-depth, privacy analysis of Dece...
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11/14/2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Federated learning allows a set of users to train a deep neural network ...
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12/04/2020
Unleashing the Tiger: Inference Attacks on Split Learning
We investigate the security of split learning – a novel collaborative ma...
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10/23/2020
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
Password security hinges on an accurate understanding of the techniques ...
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04/15/2020
Interpretable Probabilistic Password Strength Meters via Deep Learning
Probabilistic password strength meters have been proved to be the most a...
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10/09/2019
Improving Password Guessing via Representation Learning
Learning useful representations from unstructured data is one of the cor...
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03/07/2019
