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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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08/27/2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Many machine learning problems use data in the tabular domains. Adversar...
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11/13/2020
Synthetic Data – A Privacy Mirage
Synthetic datasets drawn from generative models have been advertised as ...
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11/06/2020
The Bayes Security Measure
Security system designers favor worst-case security measures, such as th...
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06/24/2019
Encrypted DNS --> Privacy? A Traffic Analysis Perspective
Virtually every connection to an Internet service is preceded by a DNS l...
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06/02/2019
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning
A membership inference attack (MIA) against a machine learning model ena...
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10/25/2018
Evading classifiers in discrete domains with provable optimality guarantees
Security-critical applications such as malware, fraud, or spam detection...
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09/10/2018
Tandem: Securing Keys by Using a Central Server While Preserving Privacy
Users' devices, e.g., smartphones or laptops, are typically incapable of...
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06/07/2018
