Mar 24, 2023 · Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input.
Past work exploring adversarial vulnerability have fo- cused on situations where an adversary can perturb all di- mensions of model input.
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Past work exploring adversarial vulnerability have fo- cused on situations where an adversary can perturb all di- mensions of model input.
In this work we investigate how adversarial vulnerability depends on dim(V). In particular, we show that the adversarial success of standard PGD attacks with ...
∈. pT. B.3. Adversarial example generation. For each dataset and model, we select a range of pertur- bation budgets ∈ and subspace dimensions d, in both cases.
tests to understand the behaviour of the models at different dimensions, we modified the datasets as required and this is explained in further details in ...
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Aug 16, 2024 · How many dimensions are required to find an adversarial example? Preprint. Mar 2023. Charles Godfrey · Henry Kvinge · Elise Bishoff · Eleanor ...
If we want to determine, exactly, whether any adversarial example exists for a given example and , we can simply run the integer programming solution using ...
Jan 23, 2018 · How are adversarial examples crafted? · L⁰ distance: What is the total number of pixels that differ in their value between image X and image Z?
An adversarial example is an instance with small, intentional feature perturbations that cause a machine learning model to make a false prediction.