Yingtai Xiao

24 papers A* 5Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language Models.
EACL (Volume 1: Long Papers)
Sirat Samyoun, Yingtai Xiao, Jian Du
2026 J jnl
Fast Private Adaptive Query Answering for Large Data Domains.
CoRR
Miguel Fuentes, Brett Mullins, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon
2025 A* conf
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy.
SP
Yingtai Xiao, Jian Du, Shikun Zhang, Wanrong Zhang, Qian Yang, Danfeng Zhang, Daniel Kifer
2025 J jnl
Correlating Cross-Iteration Noise for DP-SGD using Model Curvature.
CoRR
Xin Gu, Yingtai Xiao, Guanlin He, Jiamu Bai, Daniel Kifer, Kiwan Maeng
2025 J jnl
Secret-Protected Evolution for Differentially Private Synthetic Text Generation.
CoRR
Tianze Wang, Zhaoyu Chen, Jian Du, Yingtai Xiao, Linjun Zhang, Qiang Yan
2025 — conf
TokenShapley: Token Level Context Attribution with Shapley Value.
ACL (Findings)
Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2025 J jnl
TokenShapley: Token Level Context Attribution with Shapley Value.
CoRR
Yingtai Xiao, Yuqing Zhu, Sirat Samyoun, Wanrong Zhang, Jiachen T. Wang, Jian Du
2024 J jnl
Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy.
CoRR
Yingtai Xiao, Jian Du, Shikun Zhang, Qiang Yan, Danfeng Zhang, Daniel Kifer
2024 A* conf
Efficient and Private Marginal Reconstruction with Local Non-Negativity.
NeurIPS
Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel R. Sheldon
2024 J jnl
Efficient and Private Marginal Reconstruction with Local Non-Negativity.
CoRR
Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon
2023 J jnl
A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism.
CoRR
Zeyu Ding, John Durrell, Daniel Kifer, Prottay Protivash, Guanhong Wang, Yuxin Wang, Yingtai Xiao, Danfeng Zhang
2023 A* conf
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.
NeurIPS
Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
2023 J jnl
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.
CoRR
Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer
2023 J jnl
Answering Private Linear Queries Adaptively using the Common Mechanism.
Proc. VLDB Endow.
Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
2023 J jnl
Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms.
VLDB J.
Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
2022 J jnl
Answering Private Linear Queries Adaptively using the Common Mechanism.
CoRR
Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
2021 A* conf
DPGen: Automated Program Synthesis for Differential Privacy.
CCS
Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang
2021 J jnl
DPGen: Automated Program Synthesis for Differential Privacy.
CoRR
Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang
2021 J jnl
Optimizing Fitness-For-Use of Differentially Private Linear Queries.
Proc. VLDB Endow.
Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
2021 J jnl
The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.
CoRR
Zeyu Ding, Daniel Kifer, Sayed M. Saghaian N. E., Thomas Steinke, Yuxin Wang, Yingtai Xiao, Danfeng Zhang
2020 A* conf
Diversified Interactive Recommendation with Implicit Feedback.
AAAI
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
2020 J jnl
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms.
CoRR
Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer
2020 J jnl
Optimizing Fitness-For-Use of Differentially Private Linear Queries.
CoRR
Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
2019 J jnl
Bandit Learning for Diversified Interactive Recommendation.
CoRR
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang