2 papers
cs.CR2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1
This paper proposes a data-efficient detection method for deep neural networks against backdoor attacks under a black-box scenario. The proposed approach is motivated by the intuit…
cs.LG2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy +2
This paper proposes a new defense against neural network backdooring attacks that are maliciously trained to mispredict in the presence of attacker-chosen triggers. Our defense is…