
The proposed Label Smoothing Poisoning (LSP) framework can effectively defeat trigger reverse engineering based backdoor defense methods by manipulating the classification confidence of backdoor samples.


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defeating-trigger-reverse-engineering-defenses-against-backdoor-attacks-via-label-smoothing-poisoning


Defeating Trigger Reverse Engineering Defenses Against Backdoor Attacks via Label Smoothing Poisoning


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A novel backdoor mitigation approach using activation-guided model editing to counter backdoor attacks on machine learning models.


mitigating-backdoor-attacks-on-machine-learning-models-using-activation-guided-model-editing


Mitigating Backdoor Attacks on Machine Learning Models using Activation-Guided Model Editing
