Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

17 Sep 2019Jinyuan JiaNeil Zhenqiang Gong

As machine learning (ML) becomes more and more powerful and easily accessible, attackers increasingly leverage ML to perform automated large-scale inference attacks in various domains. In such an ML-equipped inference attack, an attacker has access to some data (called public data) of an individual, a software, or a system; and the attacker uses an ML classifier to automatically infer their private data... (read more)

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