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Lingjuan Lyu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

94

Venues

24

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

94 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITowards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models.Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025AAAIExploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning.Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025AAAIRethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective.Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025CoDITSybil-based Virtual Data Poisoning Attacks in Federated Learning.Changxun Zhu, Qilong Wu, Lingjuan Lyu, Shibei Xue
2025CVPRCO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI.Siyuan Cheng, Lingjuan Lyu, Zhenting Wang, Xiangyu Zhang, Vikash Sehwag
2025CVPRSix-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models.Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025CVPRStretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget.Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
2025CVPRMLLM-as-a-Judge for Image Safety without Human Labeling.Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain
2025CVPRUnlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter.Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim
2025CVPRArgus: A Compact and Versatile Foundation Model for Vision.Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu
2025CVPRRevisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li
2025EMNLPDefending against Indirect Prompt Injection by Instruction Detection.Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025ICCVMixA: A Mixed Attention Approach with Stable Lightweight Linear Attention to Enhance Efficiency of Vision Transformers at the Edge.Sabbir Ahmed, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2025ICCVPersonalized Federated Learning Under Local Supervision.Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, Han Yu
2025ICMLHow to Evaluate and Mitigate IP Infringement in Visual Generative AI?Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
2025ICMLEnhancing Foundation Models with Federated Domain Knowledge Infusion.Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025ICMLFlexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning.Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025KDDAsymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis.Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2025WWWSelf-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024CVPRFedMef: Towards Memory-Efficient Federated Dynamic Pruning.Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024ECCVA Simple Background Augmentation Method for Object Detection with Diffusion Model.Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024ECCVFinding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection.Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
2024ECCVUnveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024ICLRDIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models.Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024ICLRDetecting, Explaining, and Mitigating Memorization in Diffusion Models.Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024ICLRFedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity.Kai Yi, Nidham Gazagnadou, Peter Richtrik, Lingjuan Lyu
2024ICLRFedWon: Triumphing Multi-domain Federated Learning Without Normalization.Weiming Zhuang, Lingjuan Lyu
2024ICMLEffective Federated Graph Matching.Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
2024ICMLBridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024ICMLPerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR.Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024ICMLHow to Trace Latent Generative Model Generated Images without Artificial Watermark?Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024ICMLCOALA: A Practical and Vision-Centric Federated Learning Platform.Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
2024IJCAIProtecting Split Learning by Potential Energy Loss.Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024KDDFedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning.Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan
2024NAACLDefending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning.Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen
2023AAAIDelving into the Adversarial Robustness of Federated Learning.Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023AAAIDefending against Backdoor Attacks in Natural Language Generation.Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang
2023ACLAre You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023ACLGNN-SL: Sequence Labeling Based on Nearest Examples via GNN.Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
2023CCSNarcissus: A Practical Clean-Label Backdoor Attack with Limited Information.Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
2023ICASSPTowards Adversarially Robust Continual Learning.Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
2023ICCVThe Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning.Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
2023ICCVTARGET: Federated Class-Continual Learning via Exemplar-Free Distillation.Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2023ICCVMAS: Towards Resource-Efficient Federated Multiple-Task Learning.Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
2023ICLRMECTA: Memory-Economic Continual Test-Time Model Adaptation.Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
2023ICLRMocoSFL: enabling cross-client collaborative self-supervised learning.Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
2023ICLRDeja Vu: Continual Model Generalization for Unseen Domains.Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
2023ICLRTowards Robustness Certification Against Universal Perturbations.Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
2023ICLRIDEAL: Query-Efficient Data-Free Learning from Black-Box Models.Jie Zhang, Chen Chen, Lingjuan Lyu
2023ICMLDimension-independent Certified Neural Network Watermarks via Mollifier Smoothing.Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
2023ICMLFast Federated Machine Unlearning with Nonlinear Functional Theory.Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023ICMLRevisiting Data-Free Knowledge Distillation with Poisoned Teachers.Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
2023ICMLReconstructive Neuron Pruning for Backdoor Defense.Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023ICMLByzantine-Robust Learning on Heterogeneous Data via Gradient Splitting.Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023IJCAIA Pathway Towards Responsible AI Generated Content.Lingjuan Lyu
2023IJCAIRAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2023IJCAIFedSampling: A Better Sampling Strategy for Federated Learning.Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023IJCAIReducing Communication for Split Learning by Randomized Top-k Sparsification.Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023KDDInternational Workshop on Federated Learning for Distributed Data Mining.Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
2023KDDPrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
2023WWWMultiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses.Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, Wenchao Jiang
2023WWWMinimum Topology Attacks for Graph Neural Networks.Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2022AAAIProtecting Intellectual Property of Language Generation APIs with Lexical Watermark.Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
2022CIKMCross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022CIKMThe 1st International Workshop on Federated Learning with Graph Data (FedGraph).Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
2022COLINGStudent Surpasses Teacher: Imitation Attack for Black-Box NLP APIs.Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari
2022EMNLPExtracted BERT Model Leaks More Information than You Think!Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu
2022EMNLPFine-mixing: Mitigating Backdoors in Fine-tuned Language Models.Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
2022ICASSPHeterogeneous Graph Node Classification With Multi-Hops Relation Features.Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia
2022ICDMFedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation.Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian
2022ICLRHow to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2022ICMLPrivacy for Free: How does Dataset Condensation Help Privacy?Tian Dong, Bo Zhao, Lingjuan Lyu
2022ICMLAccelerated Federated Learning with Decoupled Adaptive Optimization.Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022IJCAIVertically Federated Graph Neural Network for Privacy-Preserving Node Classification.Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022IJCAIData-Free Adversarial Knowledge Distillation for Graph Neural Networks.Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022KDDEdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain.Bo Li, Qiang He, Liang Yuan, Feifei Chen, Lingjuan Lyu, Yun Yang
2022KDDNo One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWDifferential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2021CIKMReliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing.Baolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo
2021ICASSPPrivacy-Preserving Optimal Insulin Dosing Decision.Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang
2021ICLRNeural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021IJCAIFederated Model Distillation with Noise-Free Differential Privacy.Lichao Sun, Lingjuan Lyu
2021NAACLModel Extraction and Adversarial Transferability, Your BERT is Vulnerable!Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu
2020EMNLPDifferentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness.Lingjuan Lyu, Xuanli He, Yitong Li
2020IJCNNLightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning.Lingjuan Lyu
2020SMCTowards Distributed Privacy-Preserving Prediction.Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu
2020WWWContour Accentuation for Transfer Learning-Based Ship Recognition Method.Chi-Hua Chen, Yizhuo Zhang, Wenzhong Guo, Mingyang Pan, Lingjuan Lyu, Chia-Yu Lin
2020SIGIRDifferentially Private Knowledge Distillation for Mobile Analytics.Lingjuan Lyu, Chi-Hua Chen
2020SIGIRTowards Differentially Private Text Representations.Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao
2020WISEPrivacy-Preserving Data Generation and Sharing Using Identification Sanitizer.Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2017CIKMPrivacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition.Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami
2017TrustComPrivacy-Preserving Aggregation of Smart Metering via Transformation and Encryption.Lingjuan Lyu, Yee Wei Law, Jiong Jin, Marimuthu Palaniswami
2016PERCOMAn improved scheme for privacy-preserving collaborative anomaly detection.Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami