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Poisoning Attacks and Subpopulation Susceptibility
We introduce a method to manipulate neuron activations while pre-training models, allowing highly successful inference of sensitive properties of the victim’s downstream training data.
Evan Rose
,
Fnu Suya
,
David Evans
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Poisoning Attacks and Subpopulation Susceptibility
We introduce a method to manipulate neuron activations while pre-training models, allowing highly successful inference of sensitive properties of the victim’s downstream training data.
Evan Rose
,
Fnu Suya
,
David Evans
Last updated on Nov 27, 2023
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Code
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?
We demonstrated that some data distributions can be inherently robust to poisoning, and that improving distributional quality can enhance resistance to poisoning attacks.
Fnu Suya
,
Xiao Zhang
,
Yuan Tian
,
David Evans
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Poster
Poster: Adversaries Don't Care About Averages: Batch Attacks on Black-Box Classifiers
We design batch attacks to priotize targeting more vulnerable seeds.
Fnu Suya
,
David Evans
,
Yuan Tian
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Poisoning Attacks and Subpopulation Susceptibility
We apply Bayesian optimization technique to design query efficient black-box attacks.
Fnu Suya
,
David Evans
,
Yuan Tian
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Code
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