Anshuman Suri
Anshuman Suri
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SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
An SoK that presents a game-based framework to systematize the body of knowledge on privacy inference risks in machine learning.
Ahmed Salem
,
Giovanni Cherubin
,
David Evans
,
Boris Köpf
,
Andrew Paverd
,
Anshuman Suri
,
Shruti Tople
,
Santiago Zanella-Béguelin
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Subject Membership Inference Attacks in Federated Learning
We propose a notion of neuron sensitivity in terms of adversarial robustness, along with an attack that works as well as PGD. The notion can be extended as a regularization term, providing adversarial robustness without adversarial training.
Anshuman Suri
,
Pallika Kanani
,
Virendra J. Marathe
,
Daniel W. Peterson
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One Neuron to Fool Them All
We propose a notion of neuron sensitivity in terms of adversarial robustness, along with an attack that works as well as PGD. The notion can be extended as a regularization term, providing adversarial robustness without adversarial training.
Anshuman Suri
,
David Evans
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