Search Results for author: David Lie

Found 5 papers, 1 papers with code

Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification

no code implementations7 Aug 2020 Wenjun Qiu, David Lie

While automated tools based on machine learning exist for privacy policy analysis, to achieve high classification accuracy, classifiers need to be trained on a large labeled dataset.

Active Learning Classification +1

Machine Unlearning

2 code implementations9 Dec 2019 Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot

Once users have shared their data online, it is generally difficult for them to revoke access and ask for the data to be deleted.

Transfer Learning

BinPro: A Tool for Binary Source Code Provenance

no code implementations2 Nov 2017 Dhaval Miyani, Zhen Huang, David Lie

Enforcing open source licenses such as the GNU General Public License (GPL), analyzing a binary for possible vulnerabilities, and code maintenance are all situations where it is useful to be able to determine the source code provenance of a binary.

Cryptography and Security D.4.6

Ocasta: Clustering Configuration Settings For Error Recovery

no code implementations2 Nov 2017 Zhen Huang, David Lie

However, a recent study found that a significant amount of configuration errors require fixing more than one setting together.

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