Lyu, Lingjuan

84 publications

CVPR 2025 Argus: 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

CVPR 2025 CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI Siyuan Cheng, Lingjuan Lyu, Zhenting Wang, Xiangyu Zhang, Vikash Sehwag

ICML 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma

AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen

ICML 2025 Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

ICML 2025 How to Evaluate and Mitigate IP Infringement in Visual Generative AI? Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu

NeurIPS 2025 LIFEBENCH: Evaluating Length Instruction Following in Large Language Models Wei Zhang, Zhenhong Zhou, Kun Wang, Junfeng Fang, Rongwu Xu, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su

CVPR 2025 MLLM-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

ICCV 2025 MixA: 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

ICCV 2025 Personalized Federated Learning Under Local Supervision Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, Han Yu

NeurIPS 2025 PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy Ruyu Liu, Lin Wang, Zhou Mingming, Jianhua Zhang, Zhang Haoyu, Xiufeng Liu, Xu Cheng, Sixian Chan, Shen Yanbin, Dai Sheng, Yuping Yan, Yaochu Jin, Lingjuan Lyu

AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi

CVPR 2025 Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li

CVPR 2025 Six-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

NeurIPS 2025 StelLA: Subspace Learning in Low-Rank Adaptation Using Stiefel Manifold Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu

CVPR 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu

CVPR 2025 Unlearning 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

ECCV 2024 A Simple Background Augmentation Method for Object Detection with Diffusion Model Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu

ECML-PKDD 2024 Backdoor Attacks with Input-Unique Triggers in NLP Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He

ICML 2024 Bridging Model Heterogeneity in Federated Learning via Uncertainty-Based Asymmetrical Reciprocity Learning Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma

ICML 2024 COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu

NeurIPS 2024 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan

NeurIPS 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release Farzaneh Askari, Lingjuan Lyu, Vivek Sharma

ICLR 2024 DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-Image Diffusion Models Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

ICLR 2024 Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu

ICML 2024 Effective Federated Graph Matching Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku

NeurIPS 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li

CVPR 2024 FedMef: Towards Memory-Efficient Federated Dynamic Pruning Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu

ICLR 2024 FedP3: Federated Personalized and Privacy-Friendly Network Pruning Under Model Heterogeneity Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu

ICLR 2024 FedWon: Triumphing Multi-Domain Federated Learning Without Normalization Weiming Zhuang, Lingjuan Lyu

NeurIPSW 2024 Federated Learning with Generative Content Rui Ye, Xinyu Zhu, Jingyi Chai, Lingjuan Lyu, Chen Xie, Yanfeng Wang, Siheng Chen

ECCV 2024 Finding a Needle in a Haystack: A Black-Box Approach to Invisible Watermark Detection Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin

ICML 2024 How to Trace Latent Generative Model Generated Images Without Artificial Watermark? Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

ICML 2024 PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma

IJCAI 2024 Protecting Split Learning by Potential Energy Loss Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin

ECCV 2024 Unveiling 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

NeurIPS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma

IJCAI 2023 A Pathway Towards Responsible AI Generated Content Lingjuan Lyu

ICML 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen

AAAI 2023 Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang

ICLR 2023 Deja Vu: Continual Model Generalization for Unseen Domains Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu

AAAI 2023 Delving into the Adversarial Robustness of Federated Learning Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

ICML 2023 Dimension-Independent Certified Neural Network Watermarks via Mollifier Smoothing Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan

ICML 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

IJCAI 2023 FedSampling: A Better Sampling Strategy for Federated Learning Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie

TMLR 2023 Federated Learning Under Partially Disjoint Data via Manifold Reshaping Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang

ICLR 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models Jie Zhang, Chen Chen, Lingjuan Lyu

NeurIPS 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long

ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang

ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger

ICLR 2023 MocoSFL: Enabling Cross-Client Collaborative Self-Supervised Learning Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger

NeurIPS 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng

NeurIPSW 2023 Privacy-Preserving Design of Graph Neural Networks with Applications to Vertical Federated Learning Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

IJCAI 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

ICML 2023 Reconstructive Neuron Pruning for Backdoor Defense Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang

IJCAI 2023 Reducing Communication for Split Learning by Randomized Top-K Sparsification Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao

ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou

ICCV 2023 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu

ICCV 2023 The Perils of Learning from Unlabeled Data: Backdoor Attacks on Semi-Supervised Learning Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr

NeurIPS 2023 Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma

ICLR 2023 Towards Robustness Certification Against Universal Perturbations Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia

TMLR 2023 Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia

NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

NeurIPS 2023 Where Did I Come from? Origin Attribution of AI-Generated Images Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma

ICML 2022 Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

NeurIPS 2022 CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia

NeurIPS 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu

NeurIPS 2022 DENSE: Data-Free One-Shot Federated Learning Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

IJCAI 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

NeurIPS 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie

ICLR 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

NeurIPSW 2022 MocoSFL: Enabling Cross-Client Collaborative Self-Supervised Learning Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger

NeurIPS 2022 Outsourcing Training Without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger

ICML 2022 Privacy for Free: How Does Dataset Condensation Help Privacy? Tian Dong, Bo Zhao, Lingjuan Lyu

NeurIPS 2022 Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu

AAAI 2022 Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang

IJCAI 2022 Vertically 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

NeurIPS 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma

NeurIPS 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li

IJCAI 2021 Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun, Lingjuan Lyu

NeurIPS 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low

ICLR 2021 Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma