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Found 3 papers, 1 papers with code
Towards Stable Backdoor Purification through Feature Shift Tuning
Our analysis shows that with the low poisoning rate, the entanglement between backdoor and clean features undermines the effect of tuning-based defenses.
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
Most detection methods are designed to verify whether a model is infected with presumed types of backdoor attacks, yet the adversary is likely to generate diverse backdoor attacks in practice that are unforeseen to defenders, which challenge current detection strategies.
State space partitioning based on constrained spectral clustering for block particle filtering
The particle filter (PF) is a powerful inference tool widely used to estimate the filtering distribution in non-linear and/or non-Gaussian problems.
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