Xu, Xiaolin

15 publications

TMLR 2026 MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks Tong Zhou, Ruyi Ding, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Yunsi Fei, Xiaolin Xu, Shaolei Ren

ICML 2025 Graph Generative Pre-Trained Transformer Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Liping Liu

ICLRW 2025 Graph Generative Pre-Trained Transformer Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Liping Liu

ICLRW 2025 Large Language Model Is Secretly a Protein Sequence Optimizer Yinkai Wang, Jiaxing He, Yuanqi Du, Xiaohui Chen, Jianan Canal Li, Liping Liu, Xiaolin Xu, Soha Hassoun

ICLRW 2025 ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction Tong Zhou, Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

ICML 2025 Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin

CPAL 2025 Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture Shijin Duan, Yejia Liu, Gaowen Liu, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu

ICLR 2024 ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor Tong Zhou, Shaolei Ren, Xiaolin Xu

NeurIPS 2024 Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-Level Signature Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren

NeurIPS 2024 GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu

ICCV 2023 AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding

NeurIPS 2023 LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding

ICML 2023 NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu

ICML 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen

ICCV 2023 VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei