Neural network Trojan

40 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

PoTrojan: powerful neural-level trojan designs in deep learning models (2018, background): “Our work shares similar concept of neural network trojans with [8].”
Trojaning Attack on Neural Networks (2018, background): “Some other works [29, 30] discuss neural network trojaning and machine learning trojaning.”
Robust Feature-Level Adversaries are Interpretability Tools (2021, background): “We are currently working toward developing a benchmark for interpretability tools based on their ability to aid a human in rediscovering trojans [16] that have been implanted into a model.”
Hardware Trojan Attacks on Neural Networks (2018, background): “In the literature, several works on neural network software Trojan attacks have been developed [28]– [30].”
Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation (2020, background): “Comprehensive discussion about the applications of machine learning to improve malware detection is presented in Geigel (2013) and Geigel (2014).”
Unsupervised Learning Trojan (2014, methodology): “The presentation of the ULT will expand on the work of Geigel (2013), which only dealt with a specific type of neural network.”