Lun Wang
Make agents reliable at OpenAI. Previously staff research scientist at Google DeepMind on Gemini post-training. I received my PhD in computer science from UC Berkeley, advised by Prof. Dawn Song in 2022. Previously, I earned my Bachelor's degree with honors in computer science from Peking University in 2018.
Blog
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Your Evals Will Break and You Won't See It Coming
Why LLM evaluations may fail exactly when models undergo qualitative phase transitions.
Selected Publications
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OpenSage: Self-programming Agent Generation Engine.
ICML 2026: Forty-Third International Conference on Machine Learning. -
DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle.
ICLR 2026: The Fourteenth International Conference on Learning Representations. -
Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
ICLR 2025: The Thirteenth International Conference on Learning Representations. -
Why Is Public Pretraining Necessary for Private Model Training?
ICML 2023: Fortieth International Conference on Machine Learning. -
Secure Federated Correlation Test and Entropy Estimation.
ICML 2023: Fortieth International Conference on Machine Learning. -
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees.
AISTATS 2023: Artificial Intelligence and Statistics. -
PRIVGUARD: Privacy Regulation Compliance Made Easier.
Usenix Security'22: the 31th Usenix Security Symposium. -
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space.
ICLR 2022: The Tenth International Conference on Learning Representations. -
DUET: An expressive higher-order language and linear type system for statically enforcing differential privacy.
OOPSLA'19: Proceedings of the ACM on Programming Languages. Distinguished Paper Award. -
Towards practical differentially private convex optimization.
Oakland'19: 2019 IEEE Symposium on Security and Privacy.
Talks
- AAAI Spring Series Symposium 2024 @ Stanford: Reconcile Byzantine-robustness & Privacy in Federated Learning
- Federated Learning & Analytics Workshop 2021 @ Google: Federated Frequency Moments Estimation & Its Application
- 2020 IC3 Blockchain Camp: Aegis: Privacy-Preserving Data Analysis Framework
- 2019 San Francisco Blockchain Week: Dynamic-Committee Proactive Secret Sharing
- 2019 Large-Scale Consensus and Blockchains @ Simons Institute: CHURP: Dynamic-Committee Proactive Secret Sharing
Service
- Area Chair: ACL ARR 2025
- Program Committee: Usenix Security 2026, CCS 2025, CCS 2023
- Workshop Committee: WMARK'25, FL-AsiaCCS’25, FedKDD 2024, TPDP 2024, FL @ ICML 2023, SPAI 2020, WNA 2020
- Reviewer: Neurips, ICML, ICLR, AISTATS, Interspeech, ITCS'23, RANDOM'23, Journal of Causal Inference, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Dependable and Secure Computing, Transactions on Machine Learning Research, Frontiers in Computer Science