Lun Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 68

Top Topics

Cardinality Estimation

Top Venues

IEEE Trans. Mob. Comput.

IEEE/ACM Trans. Netw.

IACR Cryptol. ePrint Arch.

Publications

Truong Son Nguyen, Lun Wang, Evgenios M. Kornaropoulos, Ni Trieu
AITIA: Efficient Secure Computation of Bivariate Causal Discovery. IACR Cryptol. ePrint Arch. 2024 (2024)
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Chunming Qiao
Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants. IEEE Trans. Mob. Comput. 23 (6) (2024)
Lun Wang
Reconciling Privacy and Byzantine-robustness in Federated Learning. AAAI Spring Symposia (2024)
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. ICDE (2024)
Lun Wang, Yang Xu, Hongli Xu, Zhida Jiang, Min Chen, Wuyang Zhang, Chen Qian
BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing. IEEE/ACM Trans. Netw. 32 (2) (2024)
Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong
AudioMarkBench: Benchmarking Robustness of Audio Watermarking. CoRR (2024)
Shaohuang Wang, Lun Wang, Yunhan Bu, Tianwei Huang
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework. CoRR (2024)
Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang
Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection. IEEE Trans. Mob. Comput. 23 (4) (2024)
Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. CoRR (2024)
Yifan Ma, Ying Ji, Deqiang Qu, Xuyuan Zhang, Lun Wang
Maximum expert consensus model with uncertain adjustment costs for social network group decision making. Inf. Fusion 108 (2024)
Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller
Ratel: MPC-extensions for Smart Contracts. AsiaCCS (2024)
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen
RareBench: Can LLMs Serve as Rare Diseases Specialists? KDD (2024)
Yunming Liao, Yang Xu, Hongli Xu, Zhiwei Yao, Lun Wang, Chunming Qiao
Accelerating Federated Learning With Data and Model Parallelism in Edge Computing. IEEE/ACM Trans. Netw. 32 (1) (2024)
Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen
RareBench: Can LLMs Serve as Rare Diseases Specialists? CoRR (2024)
Jinyu Wen, Lun Wang, Jiangxi Chen, Hao Tong, Xiangshui Miao
A self-selecting memory element based on a method of interconnected ovonic threshold switching device. Sci. China Inf. Sci. 67 (3) (2024)
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. INFOCOM (2023)
Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang
Why Is Public Pretraining Necessary for Private Model Training? ICML (2023)
Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS (2023)
Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Thakurta, Lun Wang
Why Is Public Pretraining Necessary for Private Model Training? CoRR (2023)
Zhida Jiang, Yang Xu, Hongli Xu, Lun Wang, Chunming Qiao, Liusheng Huang
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Lun Wang, Om Thakkar, Rajiv Mathews
Unintended Memorization in Large ASR Models, and How to Mitigate It. CoRR (2023)
Jianchun Liu, Hongli Xu, Lun Wang, Yang Xu, Chen Qian, Jinyang Huang, He Huang
Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing. IEEE Trans. Mob. Comput. 22 (2) (2023)
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. CoRR (2023)
Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller
Ratel: MPC-extensions for Smart Contracts. IACR Cryptol. ePrint Arch. 2023 (2023)
Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song
Secure Federated Correlation Test and Entropy Estimation. ICML (2023)
Shaojian Qu, Lun Wang, Ying Ji, Lulu Zuo, Zheng Wang
The Strategic Weight Manipulation Model in Uncertain Environment: A Robust Risk Optimization Approach. Syst. 11 (3) (2023)
Yang Xu, Yunming Liao, Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu
Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning. IEEE Trans. Mob. Comput. 22 (10) (2023)
Zheng Wang, Ying Ji, Tao Zhang, Yuanming Li, Lun Wang, Shaojian Qu
Product competitiveness analysis from the perspective of customer perceived helpfulness: a novel method of information fusion research. Data Technol. Appl. 57 (4) (2023)
Lun Wang, Yang Xu, Hongli Xu, Min Chen, Liusheng Huang
Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing. IEEE Trans. Mob. Comput. 22 (9) (2023)
Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR (2022)
Emanuele Antonioni, Cristiana Sanalitro, Olga Capirci, Alessio Di Renzo, Maria Beatrice D'Aversa, Domenico Bloisi, Lun Wang, Ermanno Bartoli, Lorenzo Diaco, Valentina Presutti, Daniele Nardi
Nothing About Us Without Us: a participatory design for an Inclusive Signing Tiago Robot. RO-MAN (2022)
Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song
PrivGuard: Privacy Regulation Compliance Made Easier. USENIX Security Symposium (2022)
Xilai Liu, Yan Xu, Peng Liu, Tong Yang, Jiaqi Xu, Lun Wang, Gaogang Xie, Xiaoming Li, Steve Uhlig
SEAD Counter: Self-Adaptive Counters With Different Counting Ranges. IEEE/ACM Trans. Netw. 30 (1) (2022)
Lun Wang, Iosif Pinelis, Dawn Song
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space. ICLR (2022)
Hongli Xu, Min Chen, Zeyu Meng, Yang Xu, Lun Wang, Chunming Qiao
Decentralized Machine Learning Through Experience-Driven Method in Edge Networks. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. CoRR (2022)
Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang
Enhancing Federated Learning with In-Cloud Unlabeled Data. ICDE (2022)
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR (2021)
Lun Wang, Dawn Song
Differentially Private Frequency Moments Estimation with Polylogarithmic Space. CoRR (2021)
Junming Zhang, Jingru Wang, Shigong Long, Lun Wang, Xuejiao Wang, Renrui Zhang
Differential Privacy Protection and Game Analysis of Intelligent Transportation Data. PAAP (2021)
Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. CoRR (2021)
Lun Wang, Qi Pang, Shuai Wang, Dawn Song
: Privacy Preserving Federated Correlation Test. CoRR (2021)
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI (2021)
Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Lun Wang, Luca Iocchi, Andrea Marrella, Daniele Nardi
HRI Users' Studies in the Context of the SciRoc Challenge: Some Insights on Gender-Based Differences. HAI (2020)
Lun Wang, Qi Pang, Dawn Song
Towards practical differentially private causal graph discovery. CoRR (2020)
Lun Wang, Ruoxi Jia
Private Distributed Mean Estimation. CoRR (2020)
Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR (2020)
Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM (2020)
Lun Wang, Qi Pang, Dawn Song
Towards practical differentially private causal graph discovery. NeurIPS (2020)
Lun Wang, Qi Pang, Shuai Wang, Dawn Song
F2ED-Learning: Good Fences Make Good Neighbors. CoRR (2020)
Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li
Fine-grained probability counting for cardinality estimation of data streams. World Wide Web 22 (5) (2019)
Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song
CHURP: Dynamic-Committee Proactive Secret Sharing. IACR Cryptol. ePrint Arch. 2019 (2019)
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. Poly/DMAH@VLDB (2019)
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. CoRR (2019)
Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy. CoRR (2019)
Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang
Towards Practical Differentially Private Convex Optimization. IEEE Symposium on Security and Privacy (2019)
Tong Yang, Jiaqi Xu, Xilai Liu, Peng Liu, Lun Wang, Jun Bi, Xiaoming Li
A Generic Technique for Sketches to Adapt to Different Counting Ranges. INFOCOM (2019)
Cheng Ji, Lun Wang, Qiao Li, Congming Gao, Liang Shi, Chia-Lin Yang, Chun Jason Xue
Fair Down to the Device: A GC-Aware Fair Scheduler for SSD. NVMSA (2019)
Lun Wang, Wentao Xiao, Shan Ye
Dynamic Multi-label Learning with Multiple New Labels. ICIG (3) (2019)
Lun Wang, Luca Iocchi, Andrea Marrella, Daniele Nardi
Developing a Questionnaire to Evaluate Customers' Perception in the Smart City Robotic Challenge. RO-MAN (2019)
Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song
CHURP: Dynamic-Committee Proactive Secret Sharing. CCS (2019)
Lun Wang, Andrea Marrella, Daniele Nardi
Investigating User Perceptions of HRI in Social Contexts. HRI (2019)
Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. CoRR (2019)
Tong Yang, Lun Wang, Yulong Shen, Muhammad Shahzad, Qun Huang, Xiaohong Jiang, Kun Tan, Xiaoming Li
Empowering Sketches with Machine Learning for Network Measurements. NetAI@SIGCOMM (2018)
Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp (2018)
Lun Wang, Damai Dai, Jie Jiang, Tong Yang, Xiaoke Jiang, Zekun Cai, Yang Li, Xiaoming Li
FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video. CoRR (2017)
Lun Wang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu
Influential user recommendation through SVD based topic diversification. CSCWD (2015)
Stefan Schürmans, Diandian Zhang, Dominik Auras, Rainer Leupers, Gerd Ascheid, Xiaotao Chen, Lun Wang
Creation of ESL power models for communication architectures using automatic calibration. DAC (2013)