CoLaFUZE: Coverage-Guided and Layout-Aware Fuzzing for Android Drivers. - Tianshi Mu; Huabing Zhang; Jian Wang; Huijuan Li (IEICE Trans. Inf. Syst., 2021)

Sanitizing hidden activations for improving adversarial robustness of convolutional neural networks. - Tianshi Mu; Kequan Lin; Huabing Zhang; Jian Wang (J. Intell. Fuzzy Syst., 2021)

A Verifiable Dynamic Multi-secret Sharing Obfuscation Scheme Applied to Data LakeHouse. - Shuai Tang; Tianshi Mu; Jun Zheng 007; Yurong Fu; Quanxin Zhang 001; Jie Yang (AIS&P (1), 2023)

DFaP: Data Filtering and Purification Against Backdoor Attacks. - Haochen Wang; Tianshi Mu; Guocong Feng; Shangbo Wu; Yuanzhang Li 001 (AIS&P (1), 2023)

DRSA: Debug Register-Based Self-relocating Attack Against Software-Based Remote Authentication. - Zheng Zhang; Jingfeng Xue; Tianshi Mu; Ting Yu; Kefan Qiu; Tian Chen; Yuanzhang Li 001 (BlockTEA, 2023)

Detecting anomalous electricity consumption with transformer and synthesized anomalies. - Tianshi Mu; Yun Yu; Guocong Feng; Huan Luo; Hang Yang (PeerJ Comput. Sci., 2023)

Bypassing software-based remote attestation using debug registers. - Zheng Zhang; Jingfeng Xue; Tianshi Mu; Ting Yu; Kefan Qiu; Tian Chen; Yuanzhang Li 001 (Connect. Sci., 2024)

Who is More Bayesian: Humans or ChatGPT? - Tianshi Mu; Pranjal Rawat; John Rust; Chengjun Zhang; Qixuan Zhong (CoRR, 2025)