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cs.CR2026
Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection
Mingyue Yang, David Lie, Nicolas Papernot
As concept drift due to malware evolution presents challenges for malware classification, machine learning-based data drift detection tools are developed to mitigate this problem.…
cs.CR2020★ 1 cited
Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning
Wenjun Qiu, David Lie, Lisa Austin
A significant challenge to training accurate deep learning models on privacy policies is the cost and difficulty of obtaining a large and comprehensive set of training data. To add…