Paper Vaibhaolaxmi Publication Journal • March 13, 2026

Hacking Smart Machines with Smarter Ones

Author Clustor

University of Toronto

Abstract

This paper explores how attackers can infer sensitive information from trained machine learning classifiers. By building a meta-classifier, researchers demonstrate how models may leak hidden details about training data and system design.

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Article Details

DOI: 10.1234/journal.2026.14
Published: Mar 13, 2026
Category: Machine Learning Security, …
License: CC BY 4.0

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