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2020 – today
- 2023
[j23]Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Lingjuan Lyu, Xuyun Zhang:
Differentially private locality sensitive hashing based federated recommender system. Concurr. Comput. Pract. Exp. 35(14) (2023)- [j22]Yang Zhao
, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. 10(1): 973 (2023) - [j21]Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen:
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20(3): 1882-1894 (2023) - [j20]Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu:
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5356-5370 (2023) - [c43]Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du:
Minimum Topology Attacks for Graph Neural Networks. WWW 2023: 630-640 - [c42]Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, Wenchao Jiang:
Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses. WWW (Companion Volume) 2023: 1258-1265 - [i65]Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu:
DEJA VU: Continual Model Generalization For Unseen Domains. CoRR abs/2301.10418 (2023) - [i64]Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin:
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR abs/2301.12885 (2023) - [i63]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR abs/2302.06079 (2023) - [i62]Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu:
Delving into the Adversarial Robustness of Federated Learning. CoRR abs/2302.09479 (2023) - [i61]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR abs/2302.09886 (2023) - [i60]Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia:
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR abs/2302.11408 (2023) - [i59]Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu:
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space. CoRR abs/2302.12351 (2023) - [i58]Chen Chen, Jie Fu, Lingjuan Lyu:
A Pathway Towards Responsible AI Generated Content. CoRR abs/2303.01325 (2023) - [i57]Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He:
Backdoor Attacks with Input-unique Triggers in NLP. CoRR abs/2303.14325 (2023) - [i56]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. CoRR abs/2303.17764 (2023) - [i55]Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato:
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation. CoRR abs/2304.09588 (2023) - [i54]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR abs/2305.10036 (2023) - [i53]Rui Song, Lingjuan Lyu, Wei Jiang, Andreas Festag, Alois C. Knoll:
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection. CoRR abs/2305.11654 (2023) - 2022
- [j19]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. IEEE Internet Things J. 9(13): 11365-11375 (2022) - [j18]Lingjuan Lyu, Sid Chi-Kin Chau, Nan Wang, Yifeng Zheng:
Cloud-Based Privacy-Preserving Collaborative Consumption for Sharing Economy. IEEE Trans. Cloud Comput. 10(3): 1647-1660 (2022) - [j17]Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. 19(2): 1003-1017 (2022) - [j16]Jianhua Li, Lingjuan Lyu, Ximeng Liu, Xuyun Zhang, Xixiang Lyu:
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT. IEEE Trans. Ind. Informatics 18(6): 4059-4068 (2022) - [j15]Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato:
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer. IEEE Trans. Ind. Informatics 18(12): 8977-8987 (2022) - [j14]Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13(4): 62:1-62:19 (2022) - [j13]Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun:
FedBERT: When Federated Learning Meets Pre-training. ACM Trans. Intell. Syst. Technol. 13(4): 66:1-66:26 (2022) - [j12]Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022) - [c41]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI 2022: 10758-10766 - [c40]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM 2022: 1685-1695 - [c39]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c38]Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari:
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. COLING 2022: 2849-2860 - [c37]Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun:
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. EMNLP (Findings) 2022: 355-372 - [c36]Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu:
Extracted BERT Model Leaks More Information than You Think! EMNLP 2022: 1530-1537 - [c35]Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia:
Heterogeneous Graph Node Classification With Multi-Hops Relation Features. ICASSP 2022: 5867-5871 - [c34]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM 2022: 131-140 - [c33]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR 2022 - [c32]Tian Dong, Bo Zhao, Lingjuan Lyu:
Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022: 5378-5396 - [c31]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML 2022: 10298-10322 - [c30]Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng:
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI 2022: 1959-1965 - [c29]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI 2022: 2441-2447 - [c28]Bo Li, Qiang He, Liang Yuan, Feifei Chen, Lingjuan Lyu, Yun Yang:
EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain. KDD 2022: 3208-3218 - [c27]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c26]Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu:
DENSE: Data-Free One-Shot Federated Learning. NeurIPS 2022 - [c25]Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu:
CalFAT: Calibrated Federated Adversarial Training with Label Skewness. NeurIPS 2022 - [c24]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS 2022 - [c23]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS 2022 - [c22]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS 2022 - [c21]Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu:
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS 2022 - [c20]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW 2022: 1455-1465 - [i52]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2202.04893 (2022) - [i51]Shangwei Guo, Chunlong Xie, Jiwei Li, Lingjuan Lyu, Tianwei Zhang:
Threats to Pre-trained Language Models: Survey and Taxonomy. CoRR abs/2202.06862 (2022) - [i50]Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR abs/2202.07253 (2022) - [i49]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i48]Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato:
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer. CoRR abs/2204.00843 (2022) - [i47]Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia:
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CoRR abs/2204.05255 (2022) - [i46]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i45]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (2022) - [i44]Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu:
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR abs/2205.11158 (2022) - [i43]Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu:
CalFAT: Calibrated Federated Adversarial Training with Label Skewness. CoRR abs/2205.14926 (2022) - [i42]Tian Dong, Bo Zhao, Lingjuan Lyu:
Privacy for Free: How does Dataset Condensation Help Privacy? CoRR abs/2206.00240 (2022) - [i41]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR abs/2206.03200 (2022) - [i40]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR abs/2207.07223 (2022) - [i39]Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. CoRR abs/2208.10531 (2022) - [i38]Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR abs/2209.01539 (2022) - [i37]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR abs/2209.08773 (2022) - [i36]Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia:
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? CoRR abs/2210.06516 (2022) - [i35]Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun:
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. CoRR abs/2210.09545 (2022) - [i34]Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu:
Extracted BERT Model Leaks More Information than You Think! CoRR abs/2210.11735 (2022) - [i33]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR abs/2210.12575 (2022) - [i32]Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. CoRR abs/2211.00453 (2022) - [i31]Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang:
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. CoRR abs/2212.02017 (2022) - [i30]Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois C. Knoll:
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals. CoRR abs/2212.05602 (2022) - [i29]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR abs/2212.07224 (2022) - 2021
- [j11]Jianhua Li, Jiong Jin, Lingjuan Lyu, Dong Yuan, Yingying Yang, Longxiang Gao, Chao Shen:
A fast and scalable authentication scheme in IOT for smart living. Future Gener. Comput. Syst. 117: 125-137 (2021) - [j10]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. 8(3): 1817-1829 (2021) - [j9]Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam:
Local Differential Privacy-Based Federated Learning for Internet of Things. IEEE Internet Things J. 8(11): 8836-8853 (2021) - [j8]Meng Liu, Hongsheng Hu, Haolong Xiang, Chi Yang, Lingjuan Lyu, Xuyun Zhang:
Clustering-based Efficient Privacy-preserving Face Recognition Scheme without Compromising Accuracy. ACM Trans. Sens. Networks 17(3): 31:1-31:27 (2021) - [c19]Baolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo:
Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing. CIKM 2021: 1879-1888 - [c18]Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang:
Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP 2021: 2640-2644 - [c17]Lingjuan Lyu:
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness. ICASSP 2021: 3070-3074 - [c16]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. ICLR 2021 - [c15]Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. IJCAI 2021: 1563-1570 - [c14]Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL-HLT 2021: 2006-2012 - [c13]Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS 2021: 10524-10534 - [c12]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. NeurIPS 2021: 14900-14912 - [c11]Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low:
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning. NeurIPS 2021: 16104-16117 - [i28]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. CoRR abs/2101.05930 (2021) - [i27]Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! CoRR abs/2103.10013 (2021) - [i26]Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore:
Robust Training Using Natural Transformation. CoRR abs/2105.04070 (2021) - [i25]Lingjuan Lyu:
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness. CoRR abs/2105.04808 (2021) - [i24]Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR abs/2105.10909 (2021) - [i23]Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang:
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR abs/2106.11593 (2021) - [i22]Lingjuan Lyu, Chen Chen:
A Novel Attribute Reconstruction Attack in Federated Learning. CoRR abs/2108.06910 (2021) - [i21]Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR abs/2108.13323 (2021) - [i20]Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari:
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. CoRR abs/2108.13873 (2021) - [i19]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - [i18]Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Anti-Backdoor Learning: Training Clean Models on Poisoned Data. CoRR abs/2110.11571 (2021) - [i17]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR abs/2112.02701 (2021) - [i16]Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu:
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR abs/2112.12371 (2021) - 2020
- [j7]Canyang Guo, Genggeng Liu, Lingjuan Lyu, Chi-Hua Chen:
An Unsupervised PM2.5 Estimation Method With Different Spatio-Temporal Resolutions Based on KIDW-TCGRU. IEEE Access 8: 190263-190276 (2020) - [j6]Lingjuan Lyu, James C. Bezdek, Jiong Jin, Yang Yang:
FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things. IEEE J. Sel. Areas Commun. 38(10): 2418-2429 (2020) - [j5]Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng:
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31(11): 2524-2541 (2020) - [c10]Lingjuan Lyu, Xuanli He, Yitong Li:
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. EMNLP (Findings) 2020: 2355-2365 - [c9]Lingjuan Lyu:
Lightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning. IJCNN 2020: 1-8 - [c8]Lingjuan Lyu, Chi-Hua Chen:
Differentially Private Knowledge Distillation for Mobile Analytics. SIGIR 2020: 1809-1812 - [c7]Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao:
Towards Differentially Private Text Representations. SIGIR 2020: 1813-1816 - [c6]Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu:
Towards Distributed Privacy-Preserving Prediction. SMC 2020: 4179-4184 - [c5]Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) 2020: 185-200 - [c4]Chi-Hua Chen, Yizhuo Zhang, Wenzhong Guo, Mingyang Pan, Lingjuan Lyu, Chia-Yu Lin:
Contour Accentuation for Transfer Learning-Based Ship Recognition Method. WWW (Companion Volume) 2020: 61-62 - [p2]Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang:
Threats to Federated Learning. Federated Learning 2020: 3-16 - [p1]Lingjuan Lyu, Xinyi Xu, Qian Wang, Han Yu:
Collaborative Fairness in Federated Learning. Federated Learning 2020: 189-204 - [i15]Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. CoRR abs/2003.02133 (2020) - [i14]Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam:
Local Differential Privacy based Federated Learning for Internet of Things. CoRR abs/2004.08856 (2020) - [i13]