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ORCIDJian Lou 0001
Person information
- affiliation: Zhejiang University, China
- affiliation (former): Xidian University, China
- affiliation (former): Emory University, Atlanta, GA, USA
- affiliation (former): Hong Kong Baptist University, Kowloon, Hong Kong
Other persons with the same name
- Jian Lou — disambiguation page
- Jian Lou 0002 — Vanderbilt University, Nashville, TN, USA
- Jian Lou 0003 — Alibaba, Hangzhou, China
- Jian Lou 0004 — Tencent Media Lab, Shenzhen China and Palo Alto, CA, USA
- Jian Lou 0005 — Beijing Institute of Technology, Beijing, China
- Jian Lou 0006 — Motorola Inc., San Diego, CA, USA (and 1 more)
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2020 – today
- 2024
[j15]Chenyang Chen
, Xiaoyu Zhang, Hongyi Qiu, Jian Lou, Zhengyang Liu, Xiaofeng Chen:
MaskArmor: Confidence masking-based defense mechanism for GNN against MIA. Inf. Sci. 669: 120579 (2024)- [j14]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): 30:1-30:27 (2024) - [j13]Hongwei Yao, Zheng Li, Kunzhe Huang, Jian Lou, Zhan Qin, Kui Ren:
RemovalNet: DNN Fingerprint Removal Attacks. IEEE Trans. Dependable Secur. Comput. 21(4): 2645-2658 (2024) - [c39]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: 15634-15643 - [c38]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. CVPR 2024: 12733-12743 - [c37]Fereshteh Razmi, Jian Lou, Li Xiong:
Does Differential Privacy Prevent Backdoor Attacks in Practice? DBSec 2024: 320-340 - [c36]Hongwei Yao, Jian Lou, Zhan Qin:
PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models. ICASSP 2024: 7745-7749 - [c35]Haoyu Tong, Xiaoyu Zhang, Yulin Jin, Jian Lou, Kai Wu, Xiaofeng Chen:
Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions. ACM Multimedia 2024: 1014-1023 - [c34]Hongwei Yao, Jian Lou, Zhan Qin, Kui Ren:
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. SP 2024: 845-861 - [c33]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: 1170-1181 - [i29]Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong:
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR abs/2401.10458 (2024) - [i28]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR abs/2401.16251 (2024) - [i27]Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren:
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning. CoRR abs/2402.07818 (2024) - [i26]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 abs/2404.19417 (2024) - 2023
- [j12]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): 238:1-238:24 (2023) - [j11]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): 3349-3362 (2023) - [c32]Yiling He, Jian Lou, Zhan Qin, Kui Ren:
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CCS 2023: 416-430 - [c31]Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu:
Closed-form Machine Unlearning for Matrix Factorization. CIKM 2023: 3278-3287 - [c30]Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM 2023: 4140-4144 - [c29]Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen:
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. ICCV 2023: 4499-4508 - [c28]Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin:
MUter: Machine Unlearning on Adversarially Trained Models. ICCV 2023: 4869-4879 - [c27]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: 498-511 - [c26]Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen:
ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing. ACM Multimedia 2023: 5410-5418 - [c25]Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren:
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. NeurIPS 2023 - [c24]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 - [c23]Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong:
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) 2023: 446-461 - [i25]Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR abs/2303.02445 (2023) - [i24]Wenjie Wang, Li Xiong, Jian Lou:
Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR abs/2303.12357 (2023) - [i23]Hongwei Yao, Jian Lou, Kui Ren, Zhan Qin:
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. CoRR abs/2308.02816 (2023) - [i22]Yiling He, Jian Lou, Zhan Qin, Kui Ren:
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CoRR abs/2308.05362 (2023) - [i21]Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. CoRR abs/2310.04711 (2023) - [i20]Hongwei Yao, Jian Lou, Zhan Qin:
PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models. CoRR abs/2310.12439 (2023) - [i19]Fereshteh Razmi, Jian Lou, Li Xiong:
Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR abs/2311.06227 (2023) - [i18]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. CoRR abs/2311.16062 (2023) - [i17]Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren:
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. CoRR abs/2311.16136 (2023) - [i16]Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren:
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. CoRR abs/2312.10336 (2023) - [i15]Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu:
Prompt Valuation Based on Shapley Values. CoRR abs/2312.15395 (2023) - 2022
- [j10]Qiquan Shi, Yiu-Ming Cheung, Jian Lou:
Robust Tensor SVD and Recovery With Rank Estimation. IEEE Trans. Cybern. 52(10): 10667-10682 (2022) - [j9]Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong:
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. 19(6): 4145-4155 (2022) - [c22]Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. CIKM 2022: 530-539 - [c21]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM 2022: 1868-1877 - [c20]Kaixin Yuan, Jing Liu, Jian Lou:
Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. ICDM 2022: 1305-1310 - [c19]Xiaoyu Zhang, Yulin Jin, Tao Wang, Jian Lou, Xiaofeng Chen:
Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression. ACM Multimedia 2022: 4291-4299 - [c18]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. ACM Multimedia 2022: 5351-5360 - [i14]Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou:
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. CoRR abs/2203.01752 (2022) - [i13]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. CoRR abs/2207.05641 (2022) - [i12]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR abs/2208.00993 (2022) - [i11]Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR abs/2210.04442 (2022) - [i10]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR abs/2211.01628 (2022) - [i9]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 abs/2211.07160 (2022) - 2021
- [j8]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): 957-969 (2021) - [j7]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): 2747-2750 (2021) - [j6]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15(4): 828-840 (2021) - [j5]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): 4529-4543 (2021) - [c17]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CIKM 2021: 3313-3317 - [c16]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV 2021: 7808-7817 - [c15]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM 2021: 1216-1221 - [c14]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong:
Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI 2021: 3370-3376 - [c13]Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong:
Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT 2021: 1102-1112 - [c12]Yiu-ming Cheung, Jian Lou, Feng Yu:
Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. WISE (1) 2021: 173-188 - [c11]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW 2021: 171-182 - [i8]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR abs/2107.08402 (2021) - [i7]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR abs/2108.09412 (2021) - [i6]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR abs/2108.09413 (2021) - [i5]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CoRR abs/2108.09837 (2021) - [i4]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR abs/2109.01718 (2021) - [i3]Wenbo Gou, Wen Shi, Jian Lou, Lijie Huang, Pan Zhou, Ruixuan Li:
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. CoRR abs/2112.04154 (2021) - 2020
- [j4]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: 195-209 (2020) - [j3]Jian Lou, Yiu-Ming Cheung:
Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. IEEE Trans. Image Process. 29: 2314-2327 (2020) - [c10]Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong:
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData 2020: 1061-1070 - [c9]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData 2020: 1103-1110 - [c8]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho:
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. CIKM 2020: 1295-1304 - [c7]Jian Lou, Yiu-ming Cheung:
Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. WI/IAT 2020: 1-8
2010 – 2019
- 2019
- [j2]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): 3184-3198 (2019) - [c6]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM 2019: 1291-1300 - [c5]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI 2019: 256-264 - [i2]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR abs/1908.09888 (2019) - 2018
- [c4]Jian Lou, Yiu-ming Cheung:
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. AAAI 2018: 125-133 - [i1]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR abs/1812.01496 (2018) - 2017
- [j1]Yiu-ming Cheung, Jian Lou:
Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Mach. Learn. 106(4): 595-622 (2017) - 2016
- [c3]Yiu-ming Cheung, Jian Lou:
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. CIKM 2016: 1151-1160 - 2015
- [c2]Yiu-ming Cheung, Jian Lou:
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. ACML 2015: 205-220 - [c1]Yiu-ming Cheung, Jian Lou:
Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. IJCAI 2015: 3409-3415
Coauthor Index
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