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variation in susceptibility
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
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
PDF
Cite
Poster
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
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
Last updated on Nov 27, 2023
PDF
Cite
Poster
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
PDF
Cite
Code
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
PDF
Cite
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
PDF
Cite
Poster
Cite
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