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ORCIDLun Wang 0001
Person information
- affiliation (PhD 2022): University of California, Berkeley, USA
Other persons with the same name
- Lun Wang — disambiguation page
- Lun Wang 0002 — Sapienza University of Rome, Italy
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2020 – today
- 2024
[c19]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- [c18]Lun Wang, Om Thakkar, Rajiv Mathews:
Unintended Memorization in Large ASR Models, and How to Mitigate It. ICASSP 2024: 4655-4659 - [c17]Matthew Jagielski, Om Thakkar, Lun Wang:
Noise Masking Attacks and Defenses for Pretrained Speech Models. ICASSP 2024: 4810-4814 - [c16]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. INTERSPEECH 2024 - [i20]Matthew Jagielski, Om Thakkar, Lun Wang:
Noise Masking Attacks and Defenses for Pretrained Speech Models. CoRR abs/2404.02052 (2024) - [i19]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 abs/2406.02004 (2024) - [i18]Hongbin Liu, Lun Wang, Om Thakkar, Abhradeep Thakurta, Arun Narayanan:
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models. CoRR abs/2410.01948 (2024) - 2023
- [c15]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: 3151-3178 - [c14]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: 10611-10627 - [c13]Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song:
Secure Federated Correlation Test and Entropy Estimation. ICML 2023: 26990-27010 - [c12]Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song:
PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium 2023: 3943-3960 - [i17]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 abs/2302.09483 (2023) - [i16]Lun Wang, Om Thakkar, Rajiv Mathews:
Unintended Memorization in Large ASR Models, and How to Mitigate It. CoRR abs/2310.11739 (2023) - [i15]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: 1909 (2023) - 2022
- [b1]Lun Wang:
Towards Privacy-Preserving and Regulation-Compliant Data Analysis. University of California, Berkeley, USA, 2022 - [j4]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): 90-106 (2022) - [c11]Lun Wang, Iosif Pinelis, Dawn Song:
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space. ICLR 2022 - [c10]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: 3753-3770 - [i14]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 abs/2205.11765 (2022) - 2021
- [j3]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): 163-183 (2021) - [c9]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI 2021: 3699-3705 - [i13]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 abs/2103.01496 (2021) - [i12]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR abs/2105.00579 (2021) - [i11]Lun Wang, Dawn Song:
Differentially Private Frequency Moments Estimation with Polylogarithmic Space. CoRR abs/2105.12363 (2021) - [i10]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
FED-χ2: Privacy Preserving Federated Correlation Test. CoRR abs/2105.14618 (2021) - 2020
- [c8]Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song:
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM 2020: 162-171 - [c7]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. NeurIPS 2020 - [i9]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. CoRR abs/2006.08598 (2020) - [i8]Lun Wang, Ruoxi Jia:
Private Distributed Mean Estimation. CoRR abs/2006.13039 (2020) - [i7]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
F2ED-Learning: Good Fences Make Good Neighbors. CoRR abs/2010.01175 (2020) - [i6]Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song:
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR abs/2012.05291 (2020)
2010 – 2019
- 2019
- [j2]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): 172:1-172:30 (2019) - [j1]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): 2065-2081 (2019) - [c6]Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song:
CHURP: Dynamic-Committee Proactive Secret Sharing. CCS 2019: 2369-2386 - [c5]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: 2017-2025 - [c4]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: 299-316 - [c3]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: 3-23 - [i5]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 abs/1908.01763 (2019) - [i4]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 abs/1909.00077 (2019) - [i3]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 abs/1909.02481 (2019) - [i2]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: 17 (2019) - 2018
- [c2]Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp 2018: 176-183 - [c1]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: 15-20 - 2017
- [i1]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 abs/1704.06444 (2017)
Coauthor Index
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