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cs.LG2025
Seal Your Backdoor with Variational Defense
Ivan Sabolić, Matej Grcić, Siniša Šegvić
We propose VIBE, a model-agnostic framework that trains classifiers resilient to backdoor attacks. The key concept behind our approach is to treat malicious inputs and corrupted la…
cs.LG2024
Backdoor Defense through Self-Supervised and Generative Learning
Ivan Sabolić, Ivan Grubišić, Siniša Šegvić
Backdoor attacks change a small portion of training data by introducing hand-crafted triggers and rewiring the corresponding labels towards a desired target class. Training on such…