Jian Lou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Tensor Factorization

Differential Privacy

Differentially Private

Distributed Data

Top Venues

Proc. VLDB Endow.

Publications

Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. Proc. ACM Manag. Data 2 (1) (2024)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR (2024)
Hong-Kyu Lee, Qiuchen Zhang, Carl J. Yang, Jian Lou, Li Xiong
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR (2024)
Hongwei Yao, Jian Lou, Zhan Qin
PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models. ICASSP (2024)
Fereshteh Razmi, Jian Lou, Li Xiong
Does Differential Privacy Prevent Backdoor Attacks in Practice? DBSec (2024)
Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. AAAI (2024)
Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World. CoRR (2024)
Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW (2024)
Hongwei Yao, Zheng Li, Kunzhe Huang, Jian Lou, Zhan Qin, Kui Ren
RemovalNet: DNN Fingerprint Removal Attacks. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin
MUter: Machine Unlearning on Adversarially Trained Models. ICCV (2023)
Congcong Fu, Hui Li, Jian Lou, Huizhen Li, Jiangtao Cui
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. Proc. ACM Manag. Data 1 (4) (2023)
Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM (2023)
Yiling He, Jian Lou, Zhan Qin, Kui Ren
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CCS (2023)
Hongwei Yao, Jian Lou, Kui Ren, Zhan Qin
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. CoRR (2023)
Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. CoRR (2023)
Hongwei Yao, Jian Lou, Zhan Qin
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models. CoRR (2023)
Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. NeurIPS (2023)
Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. CoRR (2023)
Wenjie Wang, Li Xiong, Jian Lou
Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR (2023)
Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS (2023)
Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. ICCV (2023)
Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. 16 (11) (2023)
Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) (2023)
Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu
Prompt Valuation Based on Shapley Values. CoRR (2023)
Fereshteh Razmi, Jian Lou, Li Xiong
Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR (2023)
Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang
Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR (2023)
Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. CoRR (2023)
Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen
ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing. ACM Multimedia (2023)
Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu
Closed-form Machine Unlearning for Matrix Factorization. CIKM (2023)
Yiling He, Jian Lou, Zhan Qin, Kui Ren
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CoRR (2023)
Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation. NeurIPS (2023)
Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR (2022)
Qiquan Shi, Yiu-Ming Cheung, Jian Lou
Robust Tensor SVD and Recovery With Rank Estimation. IEEE Trans. Cybern. 52 (10) (2022)
Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR (2022)
Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. 19 (6) (2022)
Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. CoRR (2022)
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR (2022)
Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR (2022)
Farnaz Tahmasebian, Jian Lou, Li Xiong
RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM (2022)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW (2021)
Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14 (6) (2021)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV (2021)
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong
Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI (2021)
Farnaz Tahmasebian, Jian Lou, Li Xiong
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR (2021)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR (2021)
Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong
Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Temporal Network Embedding via Tensor Factorization. CoRR (2021)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15 (4) (2021)
Jian Lou, Yiu-ming Cheung
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Yiu-ming Cheung, Jian Lou, Feng Yu
Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. WISE (1) (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR (2021)
Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14 (12) (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Temporal Network Embedding via Tensor Factorization. CIKM (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM (2021)
Meng Pang, Yiu-Ming Cheung, Binghui Wang, Jian Lou
Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData (2020)
Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. CIKM (2020)
Jian Lou, Yiu-ming Cheung
Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. WI/IAT (2020)
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData (2020)
Jian Lou, Yiu-Ming Cheung
Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. IEEE Trans. Image Process. 29 (2020)
Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI (2019)
Meng Pang, Yiu-Ming Cheung, Risheng Liu, Jian Lou, Chuang Lin
Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 29 (11) (2019)
Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR (2019)
Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM (2019)
Jian Lou, Yiu-ming Cheung
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. AAAI (2018)
Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR (2018)
Yiu-ming Cheung, Jian Lou
Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Mach. Learn. 106 (4) (2017)
Yiu-ming Cheung, Jian Lou
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. CIKM (2016)
Yiu-ming Cheung, Jian Lou
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. ACML (2015)
Yiu-ming Cheung, Jian Lou
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. IJCAI (2015)