← Search

Maya Fuchs

2 accepted papers

2024

Assemblage: Automatic Binary Dataset Construction for Machine Learning

NeurIPS 2024poster

Binary code is pervasive, and binary analysis is a key task in reverse engineering, malware classification, and vulnerability discovery. Unfortunately, while there exist large corpuses of malicious binaries, obtaining high-quality corpuses of benign binaries for modern systems has proven challenging…

2022

A General Framework for Auditing Differentially Private Machine Learning

NeurIPS 2022accept

We present a framework to statistically audit the privacy guarantee conferred by a differentially private machine learner in practice. While previous works have taken steps toward evaluating privacy loss through poisoning attacks or membership inference, they have been tailored to specific models or…

Cited by 41SourcePDFScholar
Maya Fuchs — accepted AI-conference papers · AIConfPaper