Interactive Debugging for Big Data Analytics. - Muhammad Ali Gulzar; Xueyuan Han; Matteo Interlandi; Shaghayegh Mardani; Sai Deep Tetali; Todd D. Millstein; Miryung Kim (HotCloud, 2016)

Automated debugging in data-intensive scalable computing. - Muhammad Ali Gulzar; Matteo Interlandi; Xueyuan Han; Mingda Li; Tyson Condie; Miryung Kim (SoCC, 2017)

Practical whole-system provenance capture. - Thomas F. J.-M. Pasquier; Xueyuan Han; Mark Goldstein; Thomas Moyer; David M. Eyers; Margo I. Seltzer; Jean Bacon (SoCC, 2017)

FRAPpuccino: Fault-detection through Runtime Analysis of Provenance. - Xueyuan Han; Thomas F. J.-M. Pasquier; Tanvi Ranjan; Mark Goldstein; Margo I. Seltzer (HotCloud, 2017)

Runtime Analysis of Whole-System Provenance. - Thomas F. J.-M. Pasquier; Xueyuan Han; Thomas Moyer; Adam Bates 001; Olivier Hermant; David M. Eyers; Jean Bacon; Margo I. Seltzer (CCS, 2018)

Provenance-based Intrusion Detection: Opportunities and Challenges. - Xueyuan Han; Thomas F. J.-M. Pasquier; Margo I. Seltzer (TaPP, 2018)

Sharing and Preserving Computational Analyses for Posterity with encapsulator. - Thomas F. J.-M. Pasquier; Matthew K. Lau; Xueyuan Han; Elizabeth Fong; Barbara Staudt Lerner; Emery R. Boose; Mercè Crosas; Aaron M. Ellison; Margo I. Seltzer (Comput. Sci. Eng., 2018)

Xanthus: Push-button Orchestration of Host Provenance Data Collection. - Xueyuan Han; James Mickens; Ashish Gehani; Margo I. Seltzer; Thomas F. J.-M. Pasquier (P-RECS@HPDC, 2020)

Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats. - Xueyuan Han; Thomas F. J.-M. Pasquier; Adam Bates 001; James Mickens; Margo I. Seltzer (NDSS, 2020)

Secure Namespaced Kernel Audit for Containers. - Soo-Yee Lim; Bogdan Stelea; Xueyuan Han; Thomas F. J.-M. Pasquier (SoCC, 2021)

SIGL: Securing Software Installations Through Deep Graph Learning. - Xueyuan Han; Xiao Yu 007; Thomas F. J.-M. Pasquier; Ding Li 001; Junghwan Rhee; James W. Mickens; Margo I. Seltzer; Haifeng Chen (USENIX Security Symposium, 2021)

Splice: Efficiently Removing a User's Data from In-memory Application State. - Xueyuan Han; James Mickens; Siddhartha Sen 001 (CCS, 2023)

Sometimes, You Aren't What You Do: Mimicry Attacks against Provenance Graph Host Intrusion Detection Systems. - Akul Goyal; Xueyuan Han; Gang Wang 011; Adam Bates 001 (NDSS, 2023)

Unleashing Unprivileged eBPF Potential with Dynamic Sandboxing. - Soo-Yee Lim; Xueyuan Han; Thomas Pasquier (eBPF@SIGCOMM, 2023)

SafeBPF: Hardware-assisted Defense-in-depth for eBPF Kernel Extensions. - Soo-Yee Lim; Tanya Prasad; Xueyuan Han; Thomas Pasquier (CCSW@CCS, 2024)

Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices. - Xueyuan Han; Zinuo Cai; Yichu Zhang; Chongxin Fan; Junhan Liu; Ruhui Ma; Rajkumar Buyya (ICCD, 2024)

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance. - Zijun Cheng; Qiujian Lv; Jinyuan Liang; Yan Wang 081; Degang Sun; Thomas Pasquier; Xueyuan Han (SP, 2024)

FetchBPF: Customizable Prefetching Policies in Linux with eBPF. - Xuechun Cao; Shaurya Patel; Soo-Yee Lim; Xueyuan Han; Thomas Pasquier (USENIX ATC, 2024)

Securing Monolithic Kernels using Compartmentalization. - Soo-Yee Lim; Sidhartha Agrawal; Xueyuan Han; David M. Eyers; Dan O'Keeffe; Thomas Pasquier (CoRR, 2024)