Lun Wang

Orcid: 0009-0009-0658-7774

Affiliations:

University of California, Berkeley, USA (PhD 2022)

According to our database¹, Lun Wang authored at least 33 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models.

[BibT_eX]

[DOI]

CoRR, 2024

Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Unintended Memorization in Large ASR Models, and How to Mitigate It.

[BibT_eX]

[DOI]

Lun Wang

Om Thakkar

Rajiv Mathews

Proceedings of the IEEE International Conference on Acoustics, 2024

Noise Masking Attacks and Defenses for Pretrained Speech Models.

[BibT_eX]

[DOI]

Matthew Jagielski

Om Thakkar

Lun Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Ratel: MPC-extensions for Smart Contracts.

[BibT_eX]

[DOI]

Mikerah Quintyne-Collins

IACR Cryptol. ePrint Arch., 2023

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

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Secure Federated Correlation Test and Entropy Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Why Is Public Pretraining Necessary for Private Model Training?

[BibT_eX]

[DOI]

Abhradeep Guha Thakurta

Lun Wang

Proceedings of the International Conference on Machine Learning, 2023

Byzantine-Robust Federated Learning with Optimal Statistical Rates.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Towards Privacy-Preserving and Regulation-Compliant Data Analysis

[BibT_eX]

[DOI]

Lun Wang

PhD thesis, 2022

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

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

PrivGuard: Privacy Regulation Compliance Made Easier.

[BibT_eX]

[DOI]

Jithendaraa Subramanian

Proceedings of the 31st USENIX Security Symposium, 2022

Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space.

[BibT_eX]

[DOI]

Lun Wang

Iosif Pinelis

Dawn Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

FED-χ<sub>2</sub>: Privacy Preserving Federated Correlation Test.

[BibT_eX]

[DOI]

CoRR, 2021

Differentially Private Frequency Moments Estimation with Polylogarithmic Space.

[BibT_eX]

[DOI]

Lun Wang

Dawn Song

CoRR, 2021

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Usmann Khan

Lun Wang

Jithendaraa Subramanian

Joseph P. Near

Dawn Song

CoRR, 2020

F2ED-Learning: Good Fences Make Good Neighbors.

[BibT_eX]

[DOI]

CoRR, 2020

Private Distributed Mean Estimation.

[BibT_eX]

[DOI]

Lun Wang

Ruoxi Jia

CoRR, 2020

Towards practical differentially private causal graph discovery.

[BibT_eX]

[DOI]

Lun Wang

Qi Pang

Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks.

[BibT_eX]

[DOI]

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

2019

Fine-grained probability counting for cardinality estimation of data streams.

[BibT_eX]

[DOI]

World Wide Web, 2019

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

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., 2019

CHURP: Dynamic-Committee Proactive Secret Sharing.

[BibT_eX]

[DOI]

Sai Krishna Deepak Maram

IACR Cryptol. ePrint Arch., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations.

[BibT_eX]

[DOI]

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

Towards Practical Differentially Private Convex Optimization.

[BibT_eX]

[DOI]

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

A Generic Technique for Sketches to Adapt to Different Counting Ranges.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Empowering Sketches with Machine Learning for Network Measurements.

[BibT_eX]

[DOI]

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

Fine-Grained Probability Counting: Refined LogLog Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video.

[BibT_eX]

[DOI]

CoRR, 2017

Lun Wang

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