41 citations · 95 across the 8 of their papers we have counts for
11 papers
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric Tramel +4
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives…
AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
Huili Chen, Xinqiao Zhang, Ke Huang +1
This paper proposes AdaTest, a novel adaptive test pattern generation framework for efficient and reliable Hardware Trojan (HT) detection. HT is a backdoor attack that tampers with…
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
Xinqiao Zhang, Huili Chen, Ke Huang +1
With the surge of Machine Learning (ML), An emerging amount of intelligent applications have been developed. Deep Neural Networks (DNNs) have demonstrated unprecedented performance…
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection
Yein Kim, Huili Chen, Farinaz Koushanfar
The goal of federated learning (FL) is to train one global model by aggregating model parameters updated independently on edge devices without accessing users' private data. Howeve…
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning
Oliver Lutz, Huili Chen, Hossein Fereidooni +4
Ethereum smart contracts are automated decentralized applications on the blockchain that describe the terms of the agreement between buyers and sellers, reducing the need for trust…
TAD: Trigger Approximation based Black-box Trojan Detection for AI
Xinqiao Zhang, Huili Chen, Farinaz Koushanfar
An emerging amount of intelligent applications have been developed with the surge of Machine Learning (ML). Deep Neural Networks (DNNs) have demonstrated unprecedented performance…