Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. - Yiu-ming Cheung; Jian Lou 001 (ACML, 2015)

Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. - Yiu-ming Cheung; Jian Lou 001 (IJCAI, 2015)

Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. - Yiu-ming Cheung; Jian Lou 001 (CIKM, 2016)

Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. - Yiu-ming Cheung; Jian Lou 001 (Mach. Learn., 2017)

Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. - Jian Lou 001; Yiu-ming Cheung (AAAI, 2018)

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Joyce C. Ho; Li Xiong 001; Xiaoqian Jiang (CIKM, 2019)

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. - Wenwen Li; Jian Lou 001; Shuo Zhou; Haiping Lu (MLMI@MICCAI, 2019)

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. - Meng Pang; Yiu-Ming Cheung; Risheng Liu; Jian Lou 001; Chuang Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (IEEE BigData, 2020)

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. - Qiuchen Zhang; Jing Ma 005; Yonghui Xiao; Jian Lou 001; Li Xiong 001 (IEEE BigData, 2020)

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho (CIKM, 2020)

Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. - Jian Lou 001; Yiu-ming Cheung (WI/IAT, 2020)

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. - Meng Pang; Yiu-Ming Cheung; Binghui Wang; Jian Lou 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. - Jian Lou 001; Yiu-Ming Cheung (IEEE Trans. Image Process., 2020)

Temporal Network Embedding via Tensor Factorization. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (CIKM, 2021)

Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. - Haowen Lin; Jian Lou 001; Li Xiong 001; Cyrus Shahabi (ICCV, 2021)

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Sivasubramanium Bhavani; Joyce C. Ho (ICDM, 2021)

Private Stochastic Non-convex Optimization with Improved Utility Rates. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001 (IJCAI, 2021)

Certified Robustness to Word Substitution Attack with Differential Privacy. - Wenjie Wang 008; Pengfei Tang; Jian Lou 001; Li Xiong 001 (NAACL-HLT, 2021)

Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. - Yiu-ming Cheung; Jian Lou 001; Feng Yu (WISE (1), 2021)

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Joyce C. Ho (WWW, 2021)

SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. - Haowen Lin; Jian Lou 001; Li Xiong 001; Cyrus Shahabi (CoRR, 2021)

SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. - Wenbo Gou; Wen Shi; Jian Lou 001; Lijie Huang; Pan Zhou 001; Ruixuan Li 001 (CoRR, 2021)

Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

Projected Federated Averaging with Heterogeneous Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Proc. VLDB Endow., 2021)

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. - Jinfei Liu; Qiongqiong Lin; Jiayao Zhang 006; Kui Ren 001; Jian Lou 001; Junxu Liu; Li Xiong 001; Jian Pei 001; Jimeng Sun 001 (Proc. VLDB Endow., 2021)

An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy. - Jian Lou 001; Yiu-ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2021)

DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. - Congcong Fu; Hui Li 005; Jian Lou 001; Jiangtao Cui (CIKM, 2022)

RobustFed: A Truth Inference Approach for Robust Federated Learning. - Farnaz Tahmasebian; Jian Lou 001; Li Xiong 001 (CIKM, 2022)

Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. - Kaixin Yuan; Jing Liu 006; Jian Lou 001 (ICDM, 2022)

Backdoor Attacks on Crowd Counting. - Yuhua Sun; Tailai Zhang; Xingjun Ma; Pan Zhou 001; Jian Lou 001; Zichuan Xu; Xing Di; Yu Cheng 001; Lichao Sun 001 (ACM Multimedia, 2022)

Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression. - Xiaoyu Zhang 010; Yulin Jin; Tao Wang 036; Jian Lou 001; Xiaofeng Chen 001 (ACM Multimedia, 2022)

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. - Yiu-ming Cheung; Juyong Jiang; Feng Yu; Jian Lou 001 (CoRR, 2022)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Bhavani (CoRR, 2022)

Towards Training Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (CoRR, 2022)

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. - Qiuchen Zhang; Jing Ma 005; Jian Lou 001; Li Xiong 001; Xiaoqian Jiang (CoRR, 2022)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. - Shuo Shao 002; Wenyuan Yang; Hanlin Gu; Jian Lou 001; Zhan Qin; Lixin Fan; Qiang Yang 001; Kui Ren 001 (CoRR, 2022)

Robust Tensor SVD and Recovery With Rank Estimation. - Qiquan Shi; Yiu-Ming Cheung; Jian Lou 001 (IEEE Trans. Cybern., 2022)

Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. - Pengfei Tang; Wenjie Wang 008; Jian Lou 001; Li Xiong 001 (IEEE Trans. Dependable Secur. Comput., 2022)

FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. - Yiling He; Jian Lou 001; Zhan Qin; Kui Ren 001 (CCS, 2023)

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. - Junxu Liu; Jian Lou 001; Li Xiong 001; Xiaofeng Meng 001 (CIKM, 2023)

Closed-form Machine Unlearning for Matrix Factorization. - Shuijing Zhang; Jian Lou 001; Li Xiong 001; Xiaoyu Zhang 010; Jing Liu 006 (CIKM, 2023)

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. - Yulin Jin; Xiaoyu Zhang 010; Jian Lou 001; Xu Ma; Zilong Wang 001; Xiaofeng Chen 001 (ICCV, 2023)

MUter: Machine Unlearning on Adversarially Trained Models. - Junxu Liu; Mingsheng Xue; Jian Lou 001; Xiaoyu Zhang 010; Li Xiong 001; Zhan Qin (ICCV, 2023)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Venkatraman Bhavani (ML4H@NeurIPS, 2023)

ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing. - Yulin Jin; Xiaoyu Zhang 010; Jian Lou 001; Xiaofeng Chen 001 (ACM Multimedia, 2023)

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. - Jiaqi Liu 003; Jian Lou 001; Zhan Qin; Kui Ren 001 (NeurIPS, 2023)

CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation. - Pengyun Zhu; Long Wen; Jinfei Liu; Feng Xue; Jian Lou 001; Zhibo Wang 001; Kui Ren 001 (NeurIPS, 2023)

Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. - Fereshteh Razmi; Jian Lou 001; Yuan Hong 001; Li Xiong 001 (ECML/PKDD (3), 2023)

Federated Semi-Supervised Learning with Annotation Heterogeneity. - Xinyi Shang; Gang Huang 004; Yang Lu 009; Jian Lou 001; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2023)

Wasserstein Adversarial Examples on Univariant Time Series Data. - Wenjie Wang 008; Li Xiong 001; Jian Lou 001 (CoRR, 2023)

DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. - Congcong Fu; Hui Li 005; Jian Lou 001; Jiangtao Cui (CoRR, 2023)

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. - Yuke Hu; Jian Lou 001; Jiaqi Liu 003; Feng Lin 004; Zhan Qin; Kui Ren 001 (CoRR, 2023)

Prompt Valuation Based on Shapley Values. - Hanxi Liu; Xiaokai Mao; Haocheng Xia; Jian Lou 001; Jinfei Liu (CoRR, 2023)

Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. - Haocheng Xia; Jinfei Liu; Jian Lou 001; Zhan Qin; Kui Ren 001; Yang Cao 011; Li Xiong 001 (Proc. VLDB Endow., 2023)

DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. - Congcong Fu; Hui Li 005; Jian Lou 001; Huizhen Li; Jiangtao Cui (Proc. ACM Manag. Data, 2023)

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. - Lanlan Chen; Kai Wu 003; Jian Lou 001; Jing Liu 006 (AAAI, 2024)

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. - Wenjie Wang 008; Pengfei Tang; Jian Lou 001; Yuanming Shao; Lance Waller; Yi-an Ko; Li Xiong 001 (AAAI, 2024)

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. - Yuke Hu; Jian Lou 001; Jiaqi Liu 003; Wangze Ni; Feng Lin 004; Zhan Qin; Kui Ren 001 (CCS, 2024)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (CCS, 2024)

Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World. - Wen Yin; Jian Lou 001; Pan Zhou 001; Yulai Xie; Dan Feng 001; Yuhua Sun; Tailai Zhang; Lichao Sun 001 (CVPR, 2024)

Does Differential Privacy Prevent Backdoor Attacks in Practice? - Fereshteh Razmi; Jian Lou 001; Li Xiong 001 (DBSec, 2024)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. - Jiawen Zhang; Kejia Chen 007; Zunlei Feng; Jian Lou 001; Mingli Song (ECAI, 2024)

PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models. - Hongwei Yao; Jian Lou 001; Zhan Qin (ICASSP, 2024)

Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions. - Haoyu Tong; Xiaoyu Zhang 010; Yulin Jin; Jian Lou 001; Kai Wu 003; Xiaofeng Chen 001 (ACM Multimedia, 2024)

Rapid Plug-in Defenders. - Kai Wu 003; Yujian Betterest Li; Jian Lou 001; Xiaoyu Zhang 010; Handing Wang; Jing Liu 006 (NeurIPS, 2024)

PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. - Hongwei Yao; Jian Lou 001; Zhan Qin; Kui Ren 001 (SP, 2024)

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. - Qiuchen Zhang; Hong-Kyu Lee; Jing Ma 005; Jian Lou 001; Carl Yang 001; Li Xiong 001 (WWW, 2024)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. - Hong-Kyu Lee; Qiuchen Zhang; Carl Yang 001; Jian Lou 001; Li Xiong 001 (CoRR, 2024)

Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning. - Zhihao Liu; Jian Lou 001; Wenjie Bao; Yuke Hu; Bo Li 126; Zhan Qin; Kui Ren 001 (CoRR, 2024)

MaskArmor: Confidence masking-based defense mechanism for GNN against MIA. - Chenyang Chen; Xiaoyu Zhang 010; Hongyi Qiu; Jian Lou 001; Zhengyang Liu; Xiaofeng Chen 001 (Inf. Sci., 2024)

RemovalNet: DNN Fingerprint Removal Attacks. - Hongwei Yao; Zheng Li; Kunzhe Huang; Jian Lou 001; Zhan Qin; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. - Xiaochen Li; Weiran Liu; Jian Lou 001; Yuan Hong 001; Lei Zhang 006; Zhan Qin; Kui Ren 001 (Proc. ACM Manag. Data, 2024)

Cross-silo Federated Learning with Record-level Personalized Differential Privacy. - Junxu Liu; Jian Lou 001; Li Xiong 001; Jinfei Liu; Xiaofeng Meng 001 (Zenodo, 2024)

Zeroth-Order Federated Private Tuning for Pretrained Large Language Models. - Xiaoyu Zhang 010; Yong Lin; Meixia Miao; Jian Lou 001; Jin Li 002; Xiaofeng Chen 001 (ACISP (3), 2025)

Don't Say No: Jailbreaking LLM by Suppressing Refusal. - Yukai Zhou; Jian Lou 001; Zhijie Huang; Zhan Qin; Sibei Yang; Wenjie Wang 008 (ACL (Findings), 2025)

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. - Yuke Hu; Yang Wang; Jian Lou 001; Wei Liang; Ruofan Wu; Weiqiang Wang; Xiaochen Li; Jinfei Liu; Zhan Qin (IEEE Trans. Dependable Secur. Comput., 2025)

DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking. - Xiaoyu Zhang 010; Chenyang Zhang; Jian Lou 001; Kai Wu 003; Zilong Wang 001; Xiaofeng Chen 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment. - Xiaoyu Zhang 010; Yulin Jin; Haoyu Tong; Jian Lou 001; Kai Wu 003; Xiaofeng Chen 001 (IEEE Trans. Multim., 2025)

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense. - Jiawen Zhang; Kejia Chen 007; Lipeng He; Jian Lou 001; Dan Li; Zunlei Feng; Mingli Song; Jian Liu 012; Kui Ren 001; Xiaohu Yang 001 (CoRR, 2025)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. - Jiawen Zhang; Kejia Chen 007; Zunlei Feng; Jian Lou 001; Mingli Song; Jian Liu 012; Xiaohu Yang 001 (CoRR, 2025)

Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training. - Fenghua Weng; Jian Lou 001; Jun Feng; Minlie Huang; Wenjie Wang 008 (CoRR, 2025)

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner. - Kejia Chen 007; Jiawen Zhang; Jiacong Hu; Jiazhen Yang; Jian Lou 001; Zunlei Feng; Mingli Song (CoRR, 2025)

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models. - Kejia Chen 007; Jiawen Zhang; Jiacong Hu; Yu Wang 176; Jian Lou 001; Zunlei Feng; Mingli Song (CoRR, 2025)

Towards answering analytical query over hierarchical histogram under untrusted servers. - Congcong Fu; Hui Li 005; Jian Lou 001; Jiangtao Cui (Distributed Parallel Databases, 2025)