Privacy Enhancing Computing LOHEN: Layer-wise Optimizations for Neural Network Inferences over Encrypted Data with high Performance or Accuracy, USENIX Security 2025
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AI Security VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification, ESORICS 2024
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HW Security An Efficient Hardware/Software Co-design for FALCON on Low-End Embedded Systems, IEEE Access, April 2024
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SW Security MetaSafe: Compiling for Protecting Smart Pointer Metadata to Ensure Safe Rust Integrity, USENIX Security 2024
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HW Security Optimizing Hardware Resource Utilization for Accelerating the NTRU-KEM Algorithm, Computers, Dec 2023
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SW Security KVSEV: Secure In-Memory Key-Value Store on AMD Secure Encrypted Virtualization, SoCC 2023
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AI Security FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models, ESORICS 2023
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SW Security ZOMETAG: Zone-based Memory Tagging for Fast, Deterministic Detection of Spatial Memory Violations on ARM, IEEE Transactions on Information Forensics and Security (Impact Factor: 7.23)
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HW Security Area-Efficient Accelerator for the Full NTRU-KEM Algorithm, ICCSA 2023
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AI Security Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack, RAID 2023
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Application Specific Architectures Modeling and Library Support for Early-stage Exploration of Sparse Tensor Accelerator Designs, IEEE Access, May 2023
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SW Security SFITAG: Efficient Software Fault Isolation with Memory Tagging for ARM Kernel Extensions, ASIACCS 2023
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SW Security TRUST: A compilation framework for in-process isolation to protect safe rust against untrusted code, USENIX Security 2023
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SW Security Practical Binary Code Similarity Detection with BERT-based Transferable Similarity Learning, ACSAC 2022
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HW Security Accelerating N-bit Operations over TFHE on Commodity CPU-FPGA, ICCAD 2022
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SW Security Exploring Effective Uses of the Tagged Memory for Reducing Bounds Checking Overheads (early access), The Journal of Supercomputing, July 2022
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AI Security Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices, ESORICS 2022
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AI Security A pilot study of machine-learning-based algorithms to assist integrated care for older community-dwelling adults, Computers, Informatics, Nursing (CIN), Feb 2022
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AI Security A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks (early access), IEEE Transactions on Emerging Topics in Computational Intelligence (Impact Factor: 8.28), May 2022
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HW Security A Hardware Platform for Ensuring OS Kernel Integrity on RISC-V, MDPI Electronics, August 2021
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