| 2026 | AAAI | RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment. | Xuanzhong Chen, Ye Jin, Xiaohao Mao, Lun Wang, Shuyang Zhang, Ting Chen |
| 2026 | EACL | Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World. | Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang |
| 2025 | ICLR | Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation. | Lun Wang |
| 2024 | AsiaCCS | Ratel: MPC-extensions for Smart Contracts. | Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller |
| 2024 | CCGRID | Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization. | Xin Hang, Yang Xu, Hongli Xu, Yunming Liao, Lun Wang |
| 2024 | CCS | AITIA: Efficient Secure Computation of Bivariate Causal Discovery. | Truong Son Nguyen, Lun Wang, Evgenios M. Kornaropoulos, Ni Trieu |
| 2024 | ICASSP | Noise Masking Attacks and Defenses for Pretrained Speech Models. | Matthew Jagielski, Om Thakkar, Lun Wang |
| 2024 | ICASSP | Unintended Memorization in Large ASR Models, and How to Mitigate It. | Lun Wang, Om Thakkar, Rajiv Mathews |
| 2024 | ICDE | MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. | Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao |
| 2024 | Interspeech | Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. | Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan |
| 2024 | IWQoS | Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective. | Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang |
| 2024 | KDD | RareBench: Can LLMs Serve as Rare Diseases Specialists? | Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen |
| 2023 | AISTATS | Byzantine-Robust Federated Learning with Optimal Statistical Rates. | Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan |
| 2023 | ICML | Why Is Public Pretraining Necessary for Private Model Training? | Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang |
| 2023 | ICML | Secure Federated Correlation Test and Entropy Estimation. | Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song |
| 2023 | INFOCOM | Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. | Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian |
| 2022 | ICDE | Enhancing Federated Learning with In-Cloud Unlabeled Data. | Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang |
| 2022 | ICLR | Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space. | Lun Wang, Iosif Pinelis, Dawn Song |
| 2022 | RO-MAN | Nothing About Us Without Us: a participatory design for an Inclusive Signing Tiago Robot. | 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 |
| 2021 | IJCAI | BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. | Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song |
| 2020 | HAI | HRI Users' Studies in the Context of the SciRoc Challenge: Some Insights on Gender-Based Differences. | Lun Wang, Luca Iocchi, Andrea Marrella, Daniele Nardi |
| 2020 | ICDM | Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. | Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song |
| 2019 | CCS | CHURP: Dynamic-Committee Proactive Secret Sharing. | Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song |
| 2019 | HRI | Investigating User Perceptions of HRI in Social Contexts. | Lun Wang, Andrea Marrella, Daniele Nardi |
| 2019 | ICIG | Dynamic Multi-label Learning with Multiple New Labels. | Lun Wang, Wentao Xiao, Shan Ye |
| 2019 | INFOCOM | A Generic Technique for Sketches to Adapt to Different Counting Ranges. | Tong Yang, Jiaqi Xu, Xilai Liu, Peng Liu, Lun Wang, Jun Bi, Xiaoming Li |
| 2019 | RO-MAN | Developing a Questionnaire to Evaluate Customers' Perception in the Smart City Robotic Challenge. | Lun Wang, Luca Iocchi, Andrea Marrella, Daniele Nardi |
| 2019 | VLDB | Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. | Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song |
| 2019 | SP | Towards Practical Differentially Private Convex Optimization. | Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang |
| 2018 | SIGCOMM | Empowering Sketches with Machine Learning for Network Measurements. | Tong Yang, Lun Wang, Yulong Shen, Muhammad Shahzad, Qun Huang, Xiaohong Jiang, Kun Tan, Xiaoming Li |
| 2015 | CSCWD | Influential user recommendation through SVD based topic diversification. | Lun Wang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu |
| 2013 | DAC | Creation of ESL power models for communication architectures using automatic calibration. | Stefan Schrmans, Diandian Zhang, Dominik Auras, Rainer Leupers, Gerd Ascheid, Xiaotao Chen, Lun Wang |