Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks
Backdoor (Trojan) attacks are emerging threats against deep neural networks (DNN). A DNN being attacked will predict to an attacker-desired target class whenever a test sample from any source class is embedded with a backdoor pattern, while correctly classifying clean (attack-free) test samples. Existing backdoor defenses have shown success in …