Processing secure, verifiable and efficient SQL over outsourced database. - Tao Xiang 001; Xiaoguo Li; Fei Chen 003; Shangwei Guo; Yuanyuan Yang 001 (Inf. Sci., 2016)

Perceptual Visual Security Index Based on Edge and Texture Similarities. - Tao Xiang 001; Shangwei Guo; Xiaoguo Li (IEEE Trans. Inf. Forensics Secur., 2016)

Privacy-Aware Image Encryption Based on Logistic Map and Data Hiding. - Jianglin Sun; Xiaofeng Liao 001; Xin Chen; Shangwei Guo (Int. J. Bifurc. Chaos, 2017)

Image quality assessment based on multiscale fuzzy gradient similarity deviation. - Shangwei Guo; Tao Xiang 001; Xiaoguo Li (Soft Comput., 2017)

Efficient biometric identity-based encryption. - Xiaoguo Li; Tao Xiang 001; Fei Chen 003; Shangwei Guo (Inf. Sci., 2018)

ImageProof: Enabling Authentication for Large-Scale Image Retrieval. - Shangwei Guo; Jianliang Xu; Ce Zhang 007; Cheng Xu 004; Tao Xiang 001 (ICDE, 2019)

Towards efficient privacy-preserving face recognition in the cloud. - Shangwei Guo; Tao Xiang 001; Xiaoguo Li (Signal Process., 2019)

vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval. - Shangwei Guo; Yang Ji 004; Ce Zhang 007; Cheng Xu 004; Jianliang Xu (ICDE, 2020)

Differentially Private Decentralized Learning. - Shangwei Guo; Tianwei Zhang 004; Tao Xiang 001; Yang Liu 003 (CoRR, 2020)

The Hidden Vulnerability of Watermarking for Deep Neural Networks. - Shangwei Guo; Tianwei Zhang 004; Han Qiu 001; Yi Zeng 005; Tao Xiang 001; Yang Liu 003 (CoRR, 2020)

SensIR: Towards privacy-sensitive image retrieval in the cloud. - Lishuang Hu; Tao Xiang 001; Shangwei Guo (Signal Process. Image Commun., 2020)

Visual Security Evaluation of Perceptually Encrypted Images Based on Image Importance. - Tao Xiang 001; Ying Yang 019; Hangcheng Liu; Shangwei Guo (IEEE Trans. Circuits Syst. Video Technol., 2020)

PEID: A Perceptually Encrypted Image Database for Visual Security Evaluation. - Shangwei Guo; Tao Xiang 001; Xiaoguo Li; Ying Yang 019 (IEEE Trans. Inf. Forensics Secur., 2020)

Blind Night-Time Image Quality Assessment: Subjective and Objective Approaches. - Tao Xiang 001; Ying Yang 019; Shangwei Guo (IEEE Trans. Multim., 2020)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. - Han Qiu 001; Yi Zeng 005; Shangwei Guo; Tianwei Zhang 004; Meikang Qiu; Bhavani Thuraisingham (AsiaCCS, 2021)

Stealing Deep Reinforcement Learning Models for Fun and Profit. - Kangjie Chen; Shangwei Guo; Tianwei Zhang 004; Xiaofei Xie; Yang Liu 003 (AsiaCCS, 2021)

Temporal Watermarks for Deep Reinforcement Learning Models. - Kangjie Chen; Shangwei Guo; Tianwei Zhang 004; Shuxin Li 001; Yang Liu 003 (AAMAS, 2021)

Privacy-Preserving Collaborative Learning With Automatic Transformation Search. - Wei Gao; Shangwei Guo; Tianwei Zhang 004; Han Qiu 001; Yonggang Wen 001; Yang Liu 003 (CVPR, 2021)

Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models. - Shangwei Guo; Tianwei Zhang 004; Han Qiu 001; Yi Zeng 005; Tao Xiang 001; Yang Liu 003 (IJCAI, 2021)

PRNet: A Progressive Recovery Network for Revealing Perceptually Encrypted Images. - Tao Xiang 001; Ying Yang 019; Shangwei Guo; Hangcheng Liu; Hantao Liu (ACM Multimedia, 2021)

Local Black-box Adversarial Attacks: A Query Efficient Approach. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Tianwei Zhang 004; Xiaofeng Liao 001 (CoRR, 2021)

When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels. - Xiaoxuan Lou; Shangwei Guo; Tianwei Zhang 004; Yinqian Zhang; Yang Liu 003 (CoRR, 2021)

PEEL: A Provable Removal Attack on Deep Hiding. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Tianwei Zhang 004 (CoRR, 2021)

A Stealthy and Robust Fingerprinting Scheme for Generative Models. - Guanlin Li; Shangwei Guo; Run Wang 001; Guowen Xu; Tianwei Zhang 004 (CoRR, 2021)

Triggerless Backdoor Attack for NLP Tasks with Clean Labels. - Leilei Gan; Jiwei Li 001; Tianwei Zhang 004; Xiaoya Li 001; Yuxian Meng; Fei Wu 001; Shangwei Guo; Chun Fan 001 (CoRR, 2021)

CT-block: a novel local and global features extractor for point cloud. - Shangwei Guo; Jun Li; Zhengchao Lai; Xiantong Meng; Shaokun Han (CoRR, 2021)

Protecting Your NLG Models with Semantic and Robust Watermarks. - Tao Xiang 001; Chunlong Xie; Shangwei Guo; Jiwei Li 001; Tianwei Zhang 004 (CoRR, 2021)

Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey. - Shangwei Guo; Xu Zhang; Fei Yang; Tianwei Zhang 004; Yan Gan; Tao Xiang 001; Yang Liu 003 (CoRR, 2021)

Onboard Real-Time Dense Reconstruction in Large Terrain Scene Using Embedded UAV Platform. - Zhengchao Lai; Fei Liu; Shangwei Guo; Xiantong Meng; Shaokun Han; Wenhao Li (Remote. Sens., 2021)

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models. - Kangjie Chen; Yuxian Meng; Xiaofei Sun 001; Shangwei Guo; Tianwei Zhang 004; Jiwei Li 001; Chun Fan 001 (ICLR, 2022)

NASPY: Automated Extraction of Automated Machine Learning Models. - Xiaoxuan Lou; Shangwei Guo; Jiwei Li 001; Yaoxin Wu; Tianwei Zhang 004 (ICLR, 2022)

A Blockchain-Based Mutual Authentication Protocol for Smart Home. - Biwen Chen; Bo Tang; Shangwei Guo; Jiyun Yang; Tao Xiang 001 (ISC, 2022)

Rethinking the Vulnerability of DNN Watermarking: Are Watermarks Robust against Naturalness-aware Perturbations? - Run Wang 001; Haoxuan Li; Lingzhou Mu; Jixing Ren; Shangwei Guo; Li Liu; Liming Fang 001; Jing Chen 003; Lina Wang 001 (ACM Multimedia, 2022)

Text's Armor: Optimized Local Adversarial Perturbation Against Scene Text Editing Attacks. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Hantao Liu; Tianwei Zhang 004 (ACM Multimedia, 2022)

Triggerless Backdoor Attack for NLP Tasks with Clean Labels. - Leilei Gan; Jiwei Li 001; Tianwei Zhang 004; Xiaoya Li 001; Yuxian Meng; Fei Wu 001; Yi Yang 001; Shangwei Guo; Chun Fan 001 (NAACL-HLT, 2022)

Threats to Pre-trained Language Models: Survey and Taxonomy. - Shangwei Guo; Chunlong Xie; Jiwei Li 001; Lingjuan Lyu; Tianwei Zhang 004 (CoRR, 2022)

CompleteDT: Point Cloud Completion with Dense Augment Inference Transformers. - Jun Li; Shangwei Guo; Zhengchao Lai; Xiantong Meng; Shaokun Han (CoRR, 2022)

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption. - Guowen Xu; Guanlin Li; Shangwei Guo; Tianwei Zhang 004; Hongwei Li 001 (CoRR, 2022)

CTpoint: A novel local and global features extractor for point cloud. - Shangwei Guo; Jun Li; Zhengchao Lai; Shaokun Han (Neurocomputing, 2022)

DPG-Net: Densely progressive-growing network for point cloud completion. - Jun Li; Shangwei Guo; Xiantong Meng; Zhengchao Lai; Shaokun Han (Neurocomputing, 2022)

Topology-Aware Differential Privacy for Decentralized Image Classification. - Shangwei Guo; Tianwei Zhang 004; Guowen Xu; Han Yu 001; Tao Xiang 001; Yang Liu 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Byzantine-Resilient Decentralized Stochastic Gradient Descent. - Shangwei Guo; Tianwei Zhang 004; Han Yu 001; Xiaofei Xie; Lei Ma 003; Tao Xiang 001; Yang Liu 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Ownership Verification of DNN Architectures via Hardware Cache Side Channels. - Xiaoxuan Lou; Shangwei Guo; Jiwei Li 001; Tianwei Zhang 004 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Privacy-Preserving Reverse Nearest Neighbor Query Over Encrypted Spatial Data. - Xiaoguo Li; Tao Xiang 001; Shangwei Guo; Hongwei Li 001; Yi Mu 001 (IEEE Trans. Serv. Comput., 2022)

EGM: An Efficient Generative Model for Unrestricted Adversarial Examples. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Yan Gan; Xiaofeng Liao 001 (ACM Trans. Sens. Networks, 2022)

ELAA: An efficient local adversarial attack using model interpreters. - Shangwei Guo; Siyuan Geng; Tao Xiang 001; Hangcheng Liu; Ruitao Hou (Int. J. Intell. Syst., 2022)

Text Classification via Large Language Models. - Xiaofei Sun 001; Xiaoya Li 001; Jiwei Li 001; Fei Wu 001; Shangwei Guo; Tianwei Zhang 004; Guoyin Wang 002 (EMNLP (Findings), 2023)

MERCURY: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator. - Xiaobei Yan; Xiaoxuan Lou; Guowen Xu; Han Qiu 001; Shangwei Guo; Chip-Hong Chang; Tianwei Zhang 004 (ICFPT, 2023)

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. - Ziheng Huang; Boheng Li; Yan Cai 015; Run Wang 001; Shangwei Guo; Liming Fang 001; Jing Chen 003; Lina Wang 001 (ICCV, 2023)

Extracting Robust Models with Uncertain Examples. - Guanlin Li; Guowen Xu; Shangwei Guo; Han Qiu 001; Jiwei Li 001; Tianwei Zhang 004 (ICLR, 2023)

Contrastive Fusion Representation: Mitigating Adversarial Attacks on VQA Models. - Jialing He; Zhen Qin; Hangcheng Liu; Shangwei Guo; Biwen Chen; Ning Wang 003; Tao Xiang 001 (ICME, 2023)

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding. - Han Li; Hangcheng Liu; Shangwei Guo; Mingliang Zhou 001; Ning Wang 003; Tao Xiang 001; Tianwei Zhang 004 (CoRR, 2023)

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network. - Ziheng Huang; Boheng Li; Yan Cai 015; Run Wang 001; Shangwei Guo; Liming Fang 001; Jing Chen 003; Lina Wang 001 (CoRR, 2023)

Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content. - Guanlin Li; Yifei Chen; Jie Zhang 073; Jiwei Li 001; Shangwei Guo; Tianwei Zhang 004 (CoRR, 2023)

Rethinking Adversarial Training with Neural Tangent Kernel. - Guanlin Li; Han Qiu 001; Shangwei Guo; Jiwei Li 001; Tianwei Zhang 004 (CoRR, 2023)

Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. - Hangcheng Liu; Tao Xiang 001; Shangwei Guo; Han Li; Tianwei Zhang 004; Xiaofeng Liao 001 (IEEE Trans. Inf. Forensics Secur., 2023)

BMIF: Privacy-preserving Blockchain-based Medical Image Fusion. - Tao Xiang 001; Honghong Zeng; Biwen Chen; Shangwei Guo (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Efficient Top-k Matching for Publish/Subscribe Ride Hitching. - Yafei Li; Hongyan Gu; Rui Chen 012; Jianliang Xu; Shangwei Guo; Junxiao Xue; Mingliang Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Secure Decentralized Image Classification With Multiparty Homomorphic Encryption. - Guowen Xu; Guanlin Li; Shangwei Guo; Tianwei Zhang 004; Hongwei Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework. - Tao Xiang 001; Hangcheng Liu; Shangwei Guo; Yan Gan; Wenjian He; Xiaofeng Liao 001 (ACM Trans. Intell. Syst. Technol., 2023)

Automatic Transformation Search Against Deep Leakage From Gradients. - Wei Gao; Xu Zhang; Shangwei Guo; Tianwei Zhang 004; Tao Xiang 001; Han Qiu 001; Yonggang Wen 001; Yang Liu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

EHNQ: Subjective and Objective Quality Evaluation of Enhanced Night-Time Images. - Ying Yang 019; Tao Xiang 001; Shangwei Guo; Xiao Lv; Hantao Liu; Xiaofeng Liao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

A novel noise-robustness and rotation-invariant LADAR point cloud target classification method. - Shangwei Guo; Jun Li; Zhengchao Lai; Shaokun Han (Eng. Appl. Artif. Intell., 2023)

Protecting Confidential Virtual Machines from Hardware Performance Counter Side Channels. - Xiaoxuan Lou; Kangjie Chen; Guowen Xu; Han Qiu 001; Shangwei Guo; Tianwei Zhang 004 (DSN, 2024)

Fingerprinting Image-to-Image Generative Adversarial Networks. - Guanlin Li; Guowen Xu; Han Qiu 001; Shangwei Guo; Run Wang 001; Jiwei Li 001; Tianwei Zhang 004; Rongxing Lu (EuroS&P, 2024)

You Only Query Once: An Efficient Label-Only Membership Inference Attack. - Yutong Wu 009; Han Qiu 001; Shangwei Guo; Jiwei Li 001; Tianwei Zhang 004 (ICLR, 2024)

AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads. - Wei Gao; Xu Zhang; Shan Huang; Shangwei Guo; Peng Sun 006; Yonggang Wen 001; Tianwei Zhang 004 (ICS, 2024)

EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second. - Hao Wang 003; Shangwei Guo; Jialing He; Kangjie Chen; Shudong Zhang; Tianwei Zhang 004; Tao Xiang 001 (ACM Multimedia, 2024)

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation. - Hangcheng Liu; Zhenhu Wu; Hao Wang 003; Xingshuo Han; Shangwei Guo; Tao Xiang 001; Tianwei Zhang 004 (NeurIPS, 2024)

TransTroj: Transferable Backdoor Attacks to Pre-trained Models via Embedding Indistinguishability. - Hao Wang 003; Tao Xiang 001; Shangwei Guo; Jialing He; Hangcheng Liu; Tianwei Zhang 004 (CoRR, 2024)

Preventing Non-intrusive Load Monitoring Privacy Invasion: A Precise Adversarial Attack Scheme for Networked Smart Meters. - Jialing He; Jiacheng Wang 001; Ning Wang 003; Shangwei Guo; Liehuang Zhu; Dusit Niyato; Tao Xiang 001 (CoRR, 2024)

CompleteDT: Point cloud completion with information-perception transformers. - Jun Li; Shangwei Guo; Luhan Wang; Shaokun Han (Neurocomputing, 2024)

HQ-Net: A heatmap-based query backbone for point cloud understanding. - Jun Li; Shangwei Guo; Luhan Wang; Shaokun Han (Neurocomputing, 2024)

Efficient Group Key Generation Based on Satellite Cluster State Information for Drone Swarm. - Ning Wang 003; Jixuan Duan; Biwen Chen; Shangwei Guo; Tao Xiang 001; Kai Zeng 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Contrast-Then-Approximate: Analyzing Keyword Leakage of Generative Language Models. - Zhirui Zeng; Tao Xiang 001; Shangwei Guo; Jialing He; Qiao Zhang 002; Guowen Xu; Tianwei Zhang 004 (IEEE Trans. Inf. Forensics Secur., 2024)

An Efficient Preprocessing-Based Approach to Mitigate Advanced Adversarial Attacks. - Han Qiu 001; Yi Zeng 005; Qinkai Zheng; Shangwei Guo; Tianwei Zhang 004; Hewu Li (IEEE Trans. Computers, 2024)

The Illusion of Visual Security: Reconstructing Perceptually Encrypted Images. - Ying Yang 019; Tao Xiang 001; Xiao Lv; Shangwei Guo; Tieyong Zeng (IEEE Trans. Circuits Syst. Video Technol., 2024)

Robust and privacy-preserving collaborative training: a comprehensive survey. - Fei Yang; Xu Zhang; Shangwei Guo; Daiyuan Chen; Yan Gan; Tao Xiang 001; Yang Liu 003 (Artif. Intell. Rev., 2024)

Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score. - Zhirui Zeng; Jialing He; Tao Xiang 001; Ning Wang 003; Biwen Chen; Shangwei Guo (Cogn. Comput., 2024)

ESB-FL: Efficient and Secure Blockchain-Based Federated Learning With Fair Payment. - Biwen Chen; Honghong Zeng; Tao Xiang 001; Shangwei Guo; Tianwei Zhang 004; Yang Liu 003 (IEEE Trans. Big Data, 2024)

Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability. - Hao Wang 003; Shangwei Guo; Jialing He; Hangcheng Liu; Tianwei Zhang 004; Tao Xiang 001 (WWW, 2025)

SCPline: An interactive framework for the single-cell proteomics data preprocessing. - Shangwei Guo; Shengming Zhou; Guohua Wang; Fang Wang (Briefings Bioinform., 2025)

OverlapOcc: Leveraging overlap regions of surround-view cameras for 3D semantic occupancy prediction. - Shangwei Guo; Jun Li; Shaokun Han (Expert Syst. Appl., 2025)

Perceptual visual security index: Analyzing image content leakage for vision language models. - Lishuang Hu; Tao Xiang 001; Shangwei Guo; Xiaoguo Li; Yi Yang 001 (J. Inf. Secur. Appl., 2025)

Semantic and Precise Trigger Inversion: Detecting Backdoored Language Models. - Chunlong Xie; Jialing He; Ying Yang 019; Shangwei Guo; Tianwei Zhang 004; Tao Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Deep Face Leakage: Inverting High-Quality Faces From Gradients Using Residual Optimization. - Xu Zhang; Tao Xiang 001; Shangwei Guo; Fei Yang; Tianwei Zhang 004 (IEEE Trans. Image Process., 2025)

Advancing Non-Intrusive Load Monitoring: Predicting Appliance-Level Power Consumption With Indirect Supervision. - Jialing He; Junsen Feng; Shangwei Guo; Zhuo Chen 001; Yiwei Liu; Tao Xiang 001; Liehuang Zhu (IEEE Trans. Netw. Sci. Eng., 2025)

A cascaded graph convolutional network for point cloud completion. - Luhan Wang; Jun Li; Shangwei Guo; Shaokun Han (Vis. Comput., 2025)

Picky LLMs and Unreliable RMs: An Empirical Study on Safety Alignment after Instruction Tuning. - Guanlin Li; Kangjie Chen; Shangwei Guo; Jie Zhang 073; Han Qiu 001; Chao Zhang 008; Guoyin Wang 002; Tianwei Zhang 004; Jiwei Li 001 (CoRR, 2025)

Event-aided Semantic Scene Completion. - Shangwei Guo; Hao Shi 004; Song Wang 019; Xiaoting Yin; Kailun Yang 001; Kaiwei Wang (CoRR, 2025)

Maintaining Privacy in Smart Grid: Utilizing the Adversarial Attack Paradigm to Counter Nonintrusive Load Monitoring Models. - Jialing He; Tao Xiang 001; Tianhao Wu; Zhuo Chen 001; Ning Wang 003; Shangwei Guo (IEEE Internet Things J., 2025)

Holmes: Automated Fact Check with Large Language Models. - Haoran Ou; Gelei Deng; Xingshuo Han; Jie Zhang 073; Xinlei He 001; Han Qiu 001; Shangwei Guo; Tianwei Zhang 004 (CoRR, 2025)

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion. - Chunlong Xie; Jialing He; Shangwei Guo; Jiacheng Wang 001; Shudong Zhang; Tianwei Zhang 004; Tao Xiang 001 (CoRR, 2025)

Optimization-Free Patch Attack on Stereo Depth Estimation. - Hangcheng Liu; Xu Kuang; Xingshuo Han; Xingwan Wu; Haoran Ou; Shangwei Guo; Xingyi Huang; Tao Xiang 001; Tianwei Zhang 004 (CoRR, 2025)