Lingjuan Lyu - RankMe

293 papers A* 87A 5B 3C 1Misc 3Journal 173Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning. CoRR Jing Tang, Kun Wang, Haolang Lu, Hongjin Chen, Kaitao Chen, Zhongxiang Sun, Qiankun Li, Lingjuan Lyu, Guoshun Nan, Zhigang Zeng
2026	J	`jnl`	Empirical Recipes for Efficient and Compact Vision-Language Models. CoRR Jiabo Huang, Zhizhong Li, Sina Sajadmanesh, Weiming Zhuang, Lingjuan Lyu
2026	A*	`conf`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. AAAI Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	UniCompress: Token Compression for Unified Vision-Language Understanding and Generation. CoRR Ziyao Wang, Chen Chen, Jingtao Li, Weiming Zhuang, Jiabo Huang, Ang Li, Lingjuan Lyu
2025	A*	`conf`	Argus: A Compact and Versatile Foundation Model for Vision. CVPR 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
2025	—	`conf`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. KDD (1) Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2025	A*	`conf`	CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI. CVPR Siyuan Cheng, Lingjuan Lyu, Zhenting Wang, Xiangyu Zhang, Vikash Sehwag
2025	J	`jnl`	CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI. CoRR Siyuan Cheng, Lingjuan Lyu, Zhenting Wang, Xiangyu Zhang, Vikash Sehwag
2025	J	`jnl`	Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation. CoRR Guang-Yu Sun, Jingtao Li, Weiming Zhuang, Chen Chen, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models. ACM Multimedia Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025	J	`jnl`	CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models. CoRR Shunchang Liu, Zhuan Shi, Lingjuan Lyu, Yaochu Jin, Boi Faltings
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	—	`conf`	Defending against Indirect Prompt Injection by Instruction Detection. EMNLP (Findings) Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	J	`jnl`	Defending against Indirect Prompt Injection by Instruction Detection. CoRR Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	A*	`conf`	Enhancing Foundation Models with Federated Domain Knowledge Infusion. ICML Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025	J	`jnl`	Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes. CoRR Tao Qi, Jinhua Yin, Dongqi Cai, Yueqi Xie, Huili Wang, Hu Zhiyang, Peiru Yang, Guoshun Nan, Zhili Zhou, Shangguang Wang, Lingjuan Lyu, Yongfeng Huang, Nicholas Donald Lane
2025	J	`jnl`	ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model. CoRR Weitai Kang, Weiming Zhuang, Zhizhong Li, Yan Yan, Lingjuan Lyu
2025	A*	`conf`	Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. AAAI Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025	J	`jnl`	Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. CoRR Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025	J	`jnl`	FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free. CoRR Haolin Yuan, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. ICML Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	A*	`conf`	How to Evaluate and Mitigate IP Infringement in Visual Generative AI? ICML Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
2025	J	`jnl`	LIFEBench: Evaluating Length Instruction Following in Large Language Models. CoRR Wei Zhang, Zhenhong Zhou, Junfeng Fang, Rongwu Xu, Kun Wang, Yuanhe Zhang, Rui Wang, Ge Zhang, Xinfeng Li, Li Sun, Lingjuan Lyu, Yang Liu, Sen Su
2025	A*	`conf`	MLLM-as-a-Judge for Image Safety without Human Labeling. CVPR 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
2025	J	`jnl`	MLLM-as-a-Judge for Image Safety without Human Labeling. CoRR 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
2025	J	`jnl`	OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models. CoRR Yuping Yan, Yuhan Xie, Yuanshuai Li, Yingchao Yu, Lingjuan Lyu, Yaochu Jin
2025	A	`conf`	RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model. ICME Zhuan Shi, Jing Yan, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2025	A*	`conf`	Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. AAAI Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025	J	`jnl`	Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. CoRR Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025	A*	`conf`	Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. CVPR Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li
2025	J	`jnl`	SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. CoRR Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim
2025	J	`jnl`	SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. IEEE Trans. Neural Networks Learn. Syst. Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim
2025	J	`jnl`	Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models. CoRR Jiabo Huang, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. WWW Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	A*	`conf`	Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. CVPR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	J	`jnl`	StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold. CoRR Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu
2025	A*	`conf`	Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. CVPR Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
2025	C	`conf`	Sybil-based Virtual Data Poisoning Attacks in Federated Learning. CoDIT Changxun Zhu, Qilong Wu, Lingjuan Lyu, Shibei Xue
2025	J	`jnl`	Sybil-based Virtual Data Poisoning Attacks in Federated Learning. CoRR Changxun Zhu, Qilong Wu, Lingjuan Lyu, Shibei Xue
2025	J	`jnl`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. CoRR Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models. CoRR Yimu Wang, Weiming Zhuang, Chen Chen, Jiabo Huang, Jingtao Li, Lingjuan Lyu
2025	A*	`conf`	Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter. CVPR Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim
2025	J	`jnl`	Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter. CoRR Zhengyi Zhong, Weidong Bao, Ji Wang, Shuai Zhang, Jingxuan Zhou, Lingjuan Lyu, Wei Yang Bryan Lim
2025	J	`jnl`	When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models. CoRR Yuping Yan, Yuhan Xie, Yixin Zhang, Lingjuan Lyu, Handing Wang, Yaochu Jin
2024	J	`jnl`	${\sf FederBoost}$: Private Federated Learning for GBDT. IEEE Trans. Dependable Secur. Comput. Zhihua Tian, Rui Zhang, Xiaoyang Hou, Lingjuan Lyu, Tianyi Zhang, Jian Liu, Kui Ren
2024	—	`conf`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. ECCV (66) Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. CoRR Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2024	—	`conf`	Backdoor Attacks with Input-Unique Triggers in NLP. ECML/PKDD (1) Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He
2024	J	`jnl`	Boundary Attention Constrained Zero-Shot Layout-To-Image Generation. CoRR Huancheng Chen, Jingtao Li, Weiming Zhuang, Haris Vikalo, Lingjuan Lyu
2024	A*	`conf`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	J	`jnl`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	A*	`conf`	COALA: A Practical and Vision-Centric Federated Learning Platform. ICML Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
2024	J	`jnl`	COALA: A Practical and Vision-Centric Federated Learning Platform. CoRR Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
2024	A*	`conf`	CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. NeurIPS Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan
2024	J	`jnl`	CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. CoRR Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan
2024	J	`jnl`	Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning. CoRR Zhuan Shi, Yifei Song, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2024	A*	`conf`	DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release. NeurIPS Farzaneh Askari, Lingjuan Lyu, Vivek Sharma
2024	A*	`conf`	DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	—	`conf`	Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. NAACL-HLT (Findings) Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen
2024	J	`jnl`	Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. CoRR Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen
2024	A*	`conf`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing. IEEE Trans. Serv. Comput. Bo Li, Qiang He, Feifei Chen, Lingjuan Lyu, Athman Bouguettaya, Yun Yang
2024	A*	`conf`	Effective Federated Graph Matching. ICML Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
2024	J	`jnl`	EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Evaluating and Mitigating IP Infringement in Visual Generative AI. CoRR Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
2024	A*	`conf`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. NeurIPS Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. NeurIPS Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
2024	J	`jnl`	FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. CoRR Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
2024	J	`jnl`	FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. SIGKDD Explor. Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
2024	J	`jnl`	FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. IEEE Trans. Big Data Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li
2024	A*	`conf`	FedMef: Towards Memory-Efficient Federated Dynamic Pruning. CVPR Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	FedMef: Towards Memory-efficient Federated Dynamic Pruning. CoRR Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024	A*	`conf`	FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. ICLR Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
2024	J	`jnl`	FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity. CoRR Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu
2024	A*	`conf`	FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. KDD Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan
2024	J	`jnl`	FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. CoRR Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan
2024	A*	`conf`	FedWon: Triumphing Multi-domain Federated Learning Without Normalization. ICLR Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. CoRR Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang
2024	—	`conf`	Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. ECCV (33) Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
2024	J	`jnl`	Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
2024	A*	`conf`	How to Trace Latent Generative Model Generated Images without Artificial Watermark? ICML Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	J	`jnl`	How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	J	`jnl`	Integration of large language models and federated learning. Patterns Chaochao Chen, Xiaohua Feng, Yuyuan Li, Lingjuan Lyu, Jun Zhou, Xiaolin Zheng, Jianwei Yin
2024	J	`jnl`	Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
2024	J	`jnl`	MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models. CoRR Jianhong Tu, Zhuohao Ni, Nicholas Crispino, Zihao Yu, Michael Bendersky, Beliz Gunel, Ruoxi Jia, Xin Liu, Lingjuan Lyu, Dawn Song, Chenguang Wang
2024	J	`jnl`	Masked Differential Privacy. CoRR David Schneider, Sina Sajadmanesh, Vikash Sehwag, M. Saquib Sarfraz, Rainer Stiefelhagen, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	Minimum Topology Attacks for Graph Neural Networks. CoRR Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2024	A*	`conf`	PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR. ICML Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	Practical Attribute Reconstruction Attack Against Federated Learning. IEEE Trans. Big Data Chen Chen, Lingjuan Lyu, Han Yu, Gang Chen
2024	J	`jnl`	Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2024	A*	`conf`	Protecting Split Learning by Potential Energy Loss. IJCAI Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024	J	`jnl`	RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model. CoRR Zhuan Shi, Jing Yan, Xiaoli Tang, Lingjuan Lyu, Boi Faltings
2024	J	`jnl`	Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data. CoRR Kartik Patwari, David Schneider, Xiaoxiao Sun, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals. IEEE Internet Things J. Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois Knoll
2024	J	`jnl`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. CoRR Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget. CoRR Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu
2024	J	`jnl`	Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection. CoRR Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	A*	`conf`	Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
2024	A*	`conf`	pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. NeurIPS Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma
2023	A*	`conf`	A Pathway Towards Responsible AI Generated Content. IJCAI Lingjuan Lyu
2023	J	`jnl`	A Pathway Towards Responsible AI Generated Content. CoRR Chen Chen, Jie Fu, Lingjuan Lyu
2023	A*	`conf`	ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. USENIX Security Symposium Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
2023	J	`jnl`	ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
2023	J	`jnl`	Alteration-free and Model-agnostic Origin Attribution of Generated Images. CoRR Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
2023	—	`conf`	Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023	J	`jnl`	Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023	J	`jnl`	Backdoor Attacks with Input-unique Triggers in NLP. CoRR Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He
2023	A*	`conf`	Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	J	`jnl`	Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2023	J	`jnl`	DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation. CoRR Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
2023	J	`jnl`	DEJA VU: Continual Model Generalization For Unseen Domains. CoRR Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
2023	J	`jnl`	Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
2023	J	`jnl`	Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
2023	A*	`conf`	Defending against Backdoor Attacks in Natural Language Generation. AAAI Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang
2023	A*	`conf`	Deja Vu: Continual Model Generalization for Unseen Domains. ICLR Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu
2023	A*	`conf`	Delving into the Adversarial Robustness of Federated Learning. AAAI Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Delving into the Adversarial Robustness of Federated Learning. CoRR Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Differentially private locality sensitive hashing based federated recommender system. Concurr. Comput. Pract. Exp. Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Lingjuan Lyu, Xuyun Zhang
2023	A*	`conf`	Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
2023	J	`jnl`	EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing. CoRR Bo Li, Qiang He, Feifei Chen, Lingjuan Lyu, Athman Bouguettaya, Yun Yang
2023	J	`jnl`	FROD: Robust Object Detection for Free. CoRR Muhammad Awais, Weiming Zhuang, Lingjuan Lyu, Sung-Ho Bae
2023	A*	`conf`	Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023	A*	`conf`	FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023	J	`jnl`	FedSampling: A Better Sampling Strategy for Federated Learning. CoRR Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023	J	`jnl`	Federated Learning over a Wireless Network: Distributed User Selection through Random Access. CoRR Chen Sun, Shiyao Ma, Ce Zheng, Songtao Wu, Tao Cui, Lingjuan Lyu
2023	J	`jnl`	Federated Learning under Partially Disjoint Data via Manifold Reshaping. Trans. Mach. Learn. Res. Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang
2023	J	`jnl`	GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	—	`conf`	GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. ACL (Findings) Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
2023	J	`jnl`	Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation. IEEE Trans. Veh. Technol. Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
2023	J	`jnl`	How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2023	A*	`conf`	IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. ICLR Jie Zhang, Chen Chen, Lingjuan Lyu
2023	J	`jnl`	InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
2023	J	`jnl`	InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu
2023	A*	`conf`	International Workshop on Federated Learning for Distributed Data Mining. KDD Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
2023	A*	`conf`	Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
2023	J	`jnl`	Is Normalization Indispensable for Multi-domain Federated Learning? CoRR Weiming Zhuang, Lingjuan Lyu
2023	A*	`conf`	MAS: Towards Resource-Efficient Federated Multiple-Task Learning. ICCV Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
2023	J	`jnl`	MAS: Towards Resource-Efficient Federated Multiple-Task Learning. CoRR Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
2023	A*	`conf`	MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
2023	A*	`conf`	Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? USENIX Security Symposium Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
2023	A*	`conf`	Minimum Topology Attacks for Graph Neural Networks. WWW Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2023	A*	`conf`	MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
2023	—	`conf`	Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses. WWW (Companion Volume) Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, Wenchao Jiang
2023	A*	`conf`	Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CCS Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
2023	J	`jnl`	On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space. CoRR Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu
2023	A*	`conf`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	J	`jnl`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? CoRR Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	J	`jnl`	Privacy-preserving design of graph neural networks with applications to vertical federated learning. CoRR Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang
2023	A*	`conf`	PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
2023	J	`jnl`	Pushing the Limits of ChatGPT on NLP Tasks. CoRR Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang
2023	A*	`conf`	RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2023	A*	`conf`	Reconstructive Neuron Pruning for Backdoor Defense. ICML Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023	J	`jnl`	Reconstructive Neuron Pruning for Backdoor Defense. CoRR Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023	A*	`conf`	Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023	J	`jnl`	Reducing Communication for Split Learning by Randomized Top-k Sparsification. CoRR Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023	A*	`conf`	Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. ICML Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
2023	J	`jnl`	Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. CoRR Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou
2023	J	`jnl`	SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. CoRR Xiaolong Xu, Lingjuan Lyu, Yihong Dong, Yicheng Lu, Weiqiang Wang, Hong Jin
2023	A*	`conf`	TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. ICCV Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2023	A*	`conf`	The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. ICCV Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
2023	Misc	`conf`	Towards Adversarially Robust Continual Learning. ICASSP Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
2023	J	`jnl`	Towards Adversarially Robust Continual Learning. CoRR Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
2023	A*	`conf`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2023	J	`jnl`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2023	A*	`conf`	Towards Robustness Certification Against Universal Perturbations. ICLR Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
2023	J	`jnl`	Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu
2023	J	`jnl`	Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. Trans. Mach. Learn. Res. Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia
2023	A*	`conf`	UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
2023	J	`jnl`	V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection. CoRR Rui Song, Lingjuan Lyu, Wei Jiang, Andreas Festag, Alois C. Knoll
2023	J	`jnl`	When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. CoRR Weiming Zhuang, Chen Chen, Lingjuan Lyu
2023	A*	`conf`	Where Did I Come From? Origin Attribution of AI-Generated Images. NeurIPS Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
2022	A*	`conf`	Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	J	`jnl`	Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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
2022	A*	`conf`	CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
2022	J	`jnl`	CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
2022	A*	`conf`	CalFAT: Calibrated Federated Adversarial Training with Label Skewness. NeurIPS Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022	J	`jnl`	CalFAT: Calibrated Federated Adversarial Training with Label Skewness. CoRR Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022	J	`jnl`	Cloud-Based Privacy-Preserving Collaborative Consumption for Sharing Economy. IEEE Trans. Cloud Comput. Lingjuan Lyu, Sid Chi-Kin Chau, Nan Wang, Yifeng Zheng
2022	A	`conf`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	J	`jnl`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	A*	`conf`	DENSE: Data-Free One-Shot Federated Learning. NeurIPS Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
2022	J	`jnl`	Data Poisoning Attacks on Federated Machine Learning. IEEE Internet Things J. Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu
2022	A*	`conf`	Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022	J	`jnl`	Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022	A*	`conf`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	A*	`conf`	EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain. KDD Bo Li, Qiang He, Liang Yuan, Feifei Chen, Lingjuan Lyu, Yun Yang
2022	J	`jnl`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2022	A*	`conf`	Extracted BERT Model Leaks More Information than You Think! EMNLP Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu
2022	J	`jnl`	Extracted BERT Model Leaks More Information than You Think! CoRR Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu
2022	J	`jnl`	FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT. IEEE Trans. Ind. Informatics Jianhua Li, Lingjuan Lyu, Ximeng Liu, Xuyun Zhang, Xixiang Lyu
2022	A*	`conf`	FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FedBERT: When Federated Learning Meets Pre-training. ACM Trans. Intell. Syst. Technol. Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun
2022	J	`jnl`	FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2022	A*	`conf`	FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian
2022	J	`jnl`	FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian
2022	—	`conf`	Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. EMNLP (Findings) Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
2022	J	`jnl`	Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. CoRR Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun
2022	J	`jnl`	GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. CoRR Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
2022	Misc	`conf`	Heterogeneous Graph Node Classification With Multi-Hops Relation Features. ICASSP Xiaolong Xu, Lingjuan Lyu, Hong Jin, Weiqiang Wang, Shuo Jia
2022	J	`jnl`	How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2022	A*	`conf`	How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2022	J	`jnl`	How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? CoRR Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
2022	J	`jnl`	Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
2022	J	`jnl`	Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. CoRR Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
2022	A*	`conf`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	J	`jnl`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	A*	`conf`	Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
2022	J	`jnl`	Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger
2022	A*	`conf`	Privacy for Free: How does Dataset Condensation Help Privacy? ICML Tian Dong, Bo Zhao, Lingjuan Lyu
2022	J	`jnl`	Privacy for Free: How does Dataset Condensation Help Privacy? CoRR Tian Dong, Bo Zhao, Lingjuan Lyu
2022	J	`jnl`	Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer. IEEE Trans. Ind. Informatics Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
2022	J	`jnl`	Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer. CoRR Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
2022	J	`jnl`	PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022	A*	`conf`	Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu
2022	A*	`conf`	Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
2022	J	`jnl`	QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu
2022	J	`jnl`	ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals. CoRR Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois C. Knoll
2022	B	`conf`	Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. COLING Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari
2022	A	`conf`	The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
2022	J	`jnl`	The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. CoRR Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr
2022	J	`jnl`	Threats to Pre-trained Language Models: Survey and Taxonomy. CoRR Shangwei Guo, Chunlong Xie, Jiwei Li, Lingjuan Lyu, Tianwei Zhang
2022	J	`jnl`	Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. CoRR Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2021	J	`jnl`	A Novel Attribute Reconstruction Attack in Federated Learning. CoRR Lingjuan Lyu, Chen Chen
2021	J	`jnl`	A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu
2021	J	`jnl`	A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang
2021	J	`jnl`	A fast and scalable authentication scheme in IOT for smart living. Future Gener. Comput. Syst. Jianhua Li, Jiong Jin, Lingjuan Lyu, Dong Yuan, Yingying Yang, Longxiang Gao, Chao Shen
2021	A*	`conf`	Anti-Backdoor Learning: Training Clean Models on Poisoned Data. NeurIPS Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021	J	`jnl`	Anti-Backdoor Learning: Training Clean Models on Poisoned Data. CoRR Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021	J	`jnl`	Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. CoRR Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari
2021	J	`jnl`	Clustering-based Efficient Privacy-preserving Face Recognition Scheme without Compromising Accuracy. ACM Trans. Sens. Networks Meng Liu, Hongsheng Hu, Haolong Xiang, Chi Yang, Lingjuan Lyu, Xuyun Zhang
2021	J	`jnl`	DP-SIGNSGD: When Efficiency Meets Privacy and Robustness. CoRR Lingjuan Lyu
2021	A*	`conf`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2021	J	`jnl`	FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2021	A*	`conf`	Federated Model Distillation with Noise-Free Differential Privacy. IJCAI Lichao Sun, Lingjuan Lyu
2021	A*	`conf`	Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning. NeurIPS Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low
2021	J	`jnl`	How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2021	J	`jnl`	Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun
2021	J	`jnl`	Local Differential Privacy-Based Federated Learning for Internet of Things. IEEE Internet Things J. Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam
2021	—	`conf`	Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL-HLT Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu
2021	J	`jnl`	Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! CoRR Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun
2021	A*	`conf`	Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. ICLR Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021	J	`jnl`	Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. CoRR Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021	J	`jnl`	Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2021	Misc	`conf`	Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang
2021	J	`jnl`	Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
2021	A	`conf`	Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing. CIKM Baolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo
2021	J	`jnl`	Robust Training Using Natural Transformation. CoRR Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore
2020	J	`jnl`	A Fast and Scalable Authentication Scheme in IoT for Smart Living. CoRR Jianhua Li, Jiong Jin, Lingjuan Lyu, Dong Yuan, Yingying Yang, Longxiang Gao, Chao Shen
2020	J	`jnl`	An Unsupervised PM2.5 Estimation Method With Different Spatio-Temporal Resolutions Based on KIDW-TCGRU. IEEE Access Canyang Guo, Genggeng Liu, Lingjuan Lyu, Chi-Hua Chen
2020	J	`jnl`	Cloud-based Privacy-Preserving Collaborative Consumption for Sharing Economy. CoRR Lingjuan Lyu, Sid Chi-Kin Chau, Nan Wang, Yifeng Zheng
2020	J	`jnl`	Collaborative Fairness in Federated Learning. CoRR Lingjuan Lyu, Xinyi Xu, Qian Wang
2020	—	`ch.`	Collaborative Fairness in Federated Learning. Federated Learning Lingjuan Lyu, Xinyi Xu, Qian Wang, Han Yu
2020	—	`conf`	Contour Accentuation for Transfer Learning-Based Ship Recognition Method. WWW (Companion Volume) Chi-Hua Chen, Yizhuo Zhang, Wenzhong Guo, Mingyang Pan, Lingjuan Lyu, Chia-Yu Lin
2020	A*	`conf`	Differentially Private Knowledge Distillation for Mobile Analytics. SIGIR Lingjuan Lyu, Chi-Hua Chen
2020	—	`conf`	Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. EMNLP (Findings) Lingjuan Lyu, Xuanli He, Yitong Li
2020	J	`jnl`	Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. CoRR Lingjuan Lyu, Xuanli He, Yitong Li
2020	J	`jnl`	FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT. CoRR Jianhua Li, Lingjuan Lyu, Ximeng Liu, Xuyun Zhang, Xixiang Lyu
2020	J	`jnl`	FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things. IEEE J. Sel. Areas Commun. Lingjuan Lyu, James C. Bezdek, Jiong Jin, Yang Yang
2020	J	`jnl`	Federated Model Distillation with Noise-Free Differential Privacy. CoRR Lichao Sun, Lingjuan Lyu
2020	J	`jnl`	How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma
2020	B	`conf`	Lightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning. IJCNN Lingjuan Lyu
2020	J	`jnl`	Local Differential Privacy and Its Applications: A Comprehensive Survey. CoRR Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam
2020	J	`jnl`	Local Differential Privacy based Federated Learning for Internet of Things. CoRR Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam
2020	J	`jnl`	Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2020	—	`conf`	Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	—	`ch.`	Threats to Federated Learning. Federated Learning Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang
2020	J	`jnl`	Threats to Federated Learning: A Survey. CoRR Lingjuan Lyu, Han Yu, Qiang Yang
2020	J	`jnl`	Towards Building a Robust and Fair Federated Learning System. CoRR Xinyi Xu, Lingjuan Lyu
2020	A*	`conf`	Towards Differentially Private Text Representations. SIGIR Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao
2020	J	`jnl`	Towards Differentially Private Text Representations. CoRR Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao
2020	B	`conf`	Towards Distributed Privacy-Preserving Prediction. SMC Lingjuan Lyu, Yee Wei Law, Kee Siong Ng, Shibei Xue, Jun Zhao, Mengmeng Yang, Lei Liu
2020	J	`jnl`	Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng
2019	J	`jnl`	Distributed Privacy-Preserving Prediction. CoRR Lingjuan Lyu, Yee Wei Law, Kee Siong Ng
2019	J	`jnl`	Fog-Embedded Deep Learning for the Internet of Things. IEEE Trans. Ind. Informatics Lingjuan Lyu, James C. Bezdek, Xuanli He, Jiong Jin
2019	J	`jnl`	Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. CoRR Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin
2018	J	`jnl`	PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. IEEE Trans. Ind. Informatics Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami
2018	J	`jnl`	Privacy-preserving collaborative fuzzy clustering. Data Knowl. Eng. Lingjuan Lyu, James C. Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami
2018	—	`—`	Privacy-preserving machine learning and data aggregation for Internet of Things. Lingjuan Lyu
2017	J	`jnl`	Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering. IEEE Internet Things J. Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami
2017	—	`conf`	Privacy-Preserving Aggregation of Smart Metering via Transformation and Encryption. TrustCom/BigDataSE/ICESS Lingjuan Lyu, Yee Wei Law, Jiong Jin, Marimuthu Palaniswami
2017	A	`conf`	Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition. CIKM Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami
2016	—	`conf`	An improved scheme for privacy-preserving collaborative anomaly detection. PerCom Workshops Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami