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Privacy Enhancing Computing PCPSI: Efficient Unbalanced Private Set Intersection Using Homomorphic Encryption with Plaintext–Ciphertext Multiplication, IEEE Access, May 2026
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Privacy Enhancing Computing HEPIC: Private Inference over Homomorphic Encryption with Client Intervention, ASPLOS 2026
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Privacy Enhancing Computing Towards an Efficient Dataflow-flexible Accelerator by Finding Optimal Dataflows of DNNs, Future Generation Computer Systems, Sep 2025
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Privacy Enhancing Computing An Accelerator for Low-computational Overhead Privacy-Preserving GNN Inference, HiPC 2025
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Privacy Enhancing Computing SLOTHE: Lazy Approximation of Non-Arithmetic Neural Network Functions over Encrypted Data, USENIX Security 2025
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Privacy Enhancing Computing Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025 Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025
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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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Privacy Enhancing Computing Affinity-based Optimizations of Homomorphic Encryption Operations on Processing-in-DRAM, DAC WIP 2024
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