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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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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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11/19/2019
Audita: A Blockchain-based Auditing Framework for Off-chain Storage
The cloud changed the way we manage and store data. Today, cloud storage...
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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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06/13/2019
Arcula: A Secure Hierarchical Deterministic Wallet for Multi-asset Blockchains
This work presents Arcula, a new design for hierarchical deterministic w...
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09/01/2017
PassGAN: A Deep Learning Approach for Password Guessing
State-of-the-art password guessing tools, such as HashCat and John the R...
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02/24/2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Deep Learning has recently become hugely popular in machine learning, pr...
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06/19/2013
