Lun Wang

According to our database, Lun Wang authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PATROL: Provable Defense against Adversarial Policy in Two-player Games.

Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

Towards Privacy-Preserving and Regulation-Compliant Data Analysis

Lun Wang

PhD thesis, 2022

SEAD Counter: Self-Adaptive Counters With Different Counting Ranges.

Xilai Liu, Yan Xu, Peng Liu, Tong Yang, Jiaqi Xu, Lun Wang, Gaogang Xie, Xiaoming Li, Steve Uhlig

IEEE/ACM Trans. Netw., 2022

PrivGuard: Privacy Regulation Compliance Made Easier.

Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song

Proceedings of the 31st USENIX Security Symposium, 2022

2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia

Proc. Priv. Enhancing Technol., 2021

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning.

Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

PrivFramework: A System for Configurable and Automated Privacy Policy Compliance.

Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song

CoRR, 2020

Private Distributed Mean Estimation.

Lun Wang, Ruoxi Jia

CoRR, 2020

Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks.

Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy.

Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song

Proc. ACM Program. Lang., 2019

CHURP: Dynamic-Committee Proactive Secret Sharing.

Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song

IACR Cryptol. ePrint Arch., 2019

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems.

Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song

CoRR, 2019

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

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019

Towards Practical Differentially Private Convex Optimization.

Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019