Active Learning of Reward Dynamics from Hierarchical Queries. - Chandrayee Basu; Erdem Biyik; Zhixun He; Mukesh Singhal; Dorsa Sadigh (IROS, 2019)

Adversarial Defense Through High Frequency Loss Variational Autoencoder Decoder and Bayesian Update With Collective Voting. - Zhixun He; Mukesh Singhal (MVA, 2021)

VQUNet: Vector Quantization U-Net for Defending Adversarial Attacks by Regularizing Unwanted Noise. - Zhixun He; Mukesh Singhal (ICMVA, 2024)

VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise. - Zhixun He; Mukesh Singhal (CoRR, 2024)

Defense Frameworks Against Adversarial Attacks on Deep Learning Models - Zhixun He (2024)