Lingjuan Lyu

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 211

Top Venues

Publications

Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
COALA: A Practical and Vision-Centric Federated Learning Platform. CoRR (2024)
Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. CoRR (2024)
Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
FedMef: Towards Memory-efficient Federated Dynamic Pruning. CoRR (2024)
Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR (2024)
Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois Knoll
ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals. IEEE Internet Things J. 11 (6) (2024)
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR (2024)
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR (2024)
Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. CoRR (2024)
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. CoRR (2024)
Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. KDD (2024)
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR (2024)
Weiming Zhuang, Lingjuan Lyu
FedWon: Triumphing Multi-domain Federated Learning Without Normalization. ICLR (2024)
Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. CoRR (2024)
Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR (2024)
Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
Evaluating and Mitigating IP Infringement in Visual Generative AI. CoRR (2024)
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR (2024)
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium (2024)
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Minimum Topology Attacks for Graph Neural Networks. CoRR (2024)
Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. CoRR (2024)
Zhihua Tian, Rui Zhang, Xiaoyang Hou, Lingjuan Lyu, Tianyi Zhang, Jian Liu, Kui Ren
${\sf FederBoost}$: Private Federated Learning for GBDT. IEEE Trans. Dependable Secur. Comput. 21 (3) (2024)
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR (2024)
Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR (2024)
Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR (2024)
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. CoRR (2024)
Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. ICLR (2024)
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR (2024)
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI (2023)
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang
Federated Learning under Partially Disjoint Data via Manifold Reshaping. Trans. Mach. Learn. Res. 2023 (2023)
Bo Li, Qiang He, Feifei Chen, Lingjuan Lyu, Athman Bouguettaya, Yun Yang
EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing. CoRR (2023)
Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML (2023)
Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. ICCV (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS (2023)
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. CoRR (2023)
Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR (2023)
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR (2023)
Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
Deja Vu: Continual Model Generalization for Unseen Domains. ICLR (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML (2023)
Muhammad Awais, Weiming Zhuang, Lingjuan Lyu, Sung-Ho Bae
FROD: Robust Object Detection for Free. CoRR (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI (2023)
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) (2023)
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Alteration-free and Model-agnostic Origin Attribution of Generated Images. CoRR (2023)
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
Reconstructive Neuron Pruning for Backdoor Defense. CoRR (2023)
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 (2023)
Weiming Zhuang, Lingjuan Lyu
Is Normalization Indispensable for Multi-domain Federated Learning? CoRR (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR (2023)
Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang
Pushing the Limits of ChatGPT on NLP Tasks. CoRR (2023)
Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
Delving into the Adversarial Robustness of Federated Learning. CoRR (2023)
Lingjuan Lyu
A Pathway Towards Responsible AI Generated Content. IJCAI (2023)
Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He
Backdoor Attacks with Input-unique Triggers in NLP. CoRR (2023)
Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. ICCV (2023)
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) (2023)
Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. ICML (2023)
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)
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 (2023)
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
Reconstructive Neuron Pruning for Backdoor Defense. ICML (2023)
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) (2023)
Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR (2023)
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 (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR (2023)
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI (2023)
Chen Chen, Jie Fu, Lingjuan Lyu
A Pathway Towards Responsible AI Generated Content. CoRR (2023)
Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. CoRR (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR (2023)
Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation. IEEE Trans. Veh. Technol. 72 (12) (2023)
Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
Towards Adversarially Robust Continual Learning. CoRR (2023)
Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS (2023)
Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang
Defending against Backdoor Attacks in Natural Language Generation. AAAI (2023)
Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD (2023)
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
Reducing Communication for Split Learning by Randomized Top-k Sparsification. CoRR (2023)
Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
Towards Adversarially Robust Continual Learning. ICASSP (2023)
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)
Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. Trans. Mach. Learn. Res. 2023 (2023)
Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin
SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR (2023)
Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS (2023)
Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? CoRR (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR (2023)
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
Towards Robustness Certification Against Universal Perturbations. ICLR (2023)
Weiming Zhuang, Chen Chen, Lingjuan Lyu
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. CoRR (2023)
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 (2023)
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 (2023)
Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR (2023)
Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
Delving into the Adversarial Robustness of Federated Learning. AAAI (2023)
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CCS (2023)
Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. USENIX Security Symposium (2023)
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? USENIX Security Symposium (2023)
Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. ICCV (2023)
Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
International Workshop on Federated Learning for Distributed Data Mining. KDD (2023)
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Where Did I Come From? Origin Attribution of AI-Generated Images. NeurIPS (2023)
Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
DEJA VU: Continual Model Generalization For Unseen Domains. CoRR (2023)
Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. ACL (Findings) (2023)
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML (2023)
Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS (2023)
Jie Zhang, Chen Chen, Lingjuan Lyu
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. ICLR (2023)
Chen Sun, Shiyao Ma, Ce Zheng, Songtao Wu, Tao Cui, Lingjuan Lyu
Federated Learning over a Wireless Network: Distributed User Selection through Random Access. CoRR (2023)
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Minimum Topology Attacks for Graph Neural Networks. WWW (2023)
Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
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. ACL (1) (2023)
Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5 (12) (2023)
Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingjuan Lyu