Optimal Byzantine Attack and Byzantine Identification in Distributed Sensor Networks. - Ziteng Sun; Chuang Zhang; Pingyi Fan (GLOBECOM Workshops, 2016)

Improved Bounds for Minimax Risk of Estimating Missing Mass. - Jayadev Acharya; Yelun Bao; Yuheng Kang; Ziteng Sun (ISIT, 2018)

Differentially Private Testing of Identity and Closeness of Discrete Distributions. - Jayadev Acharya; Ziteng Sun; Huanyu Zhang (NeurIPS, 2018)

Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation. - Jayadev Acharya; Ziteng Sun; Huanyu Zhang (CoRR, 2018)

Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. - Jayadev Acharya; Ziteng Sun; Huanyu Zhang (AISTATS, 2019)

Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters. - Jayadev Acharya; Ziteng Sun (ICML, 2019)

Estimating Entropy of Distributions in Constant Space. - Jayadev Acharya; Sourbh Bhadane; Piotr Indyk; Ziteng Sun (NeurIPS, 2019)

Can You Really Backdoor Federated Learning? - Ziteng Sun; Peter Kairouz; Ananda Theertha Suresh; H. Brendan McMahan (CoRR, 2019)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Salim El Rouayheb; et al. (CoRR, 2019)

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. - Jayadev Acharya; Clément L. Canonne; Yanjun Han; Ziteng Sun; Himanshu Tyagi (Electron. Colloquium Comput. Complex., 2019)

Context Aware Local Differential Privacy. - Jayadev Acharya; Kallista A. Bonawitz; Peter Kairouz; Daniel Ramage; Ziteng Sun (ICML, 2020)

Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. - Jayadev Acharya; Yuhan Liu; Ziteng Sun (CoRR, 2020)

INSPECTRE: Privately Estimating the Unseen. - Jayadev Acharya; Gautam Kamath 001; Ziteng Sun; Huanyu Zhang (J. Priv. Confidentiality, 2020)

Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. - Jayadev Acharya; Peter Kairouz; Yuhan Liu; Ziteng Sun (ALT, 2021)

Differentially Private Assouad, Fano, and Le Cam. - Jayadev Acharya; Ziteng Sun; Huanyu Zhang (ALT, 2021)

Robust Testing and Estimation under Manipulation Attacks. - Jayadev Acharya; Ziteng Sun; Huanyu Zhang (ICML, 2021)

Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. - Jayadev Acharya; Clément L. Canonne; Yuhan Liu; Ziteng Sun; Himanshu Tyagi (NeurIPS, 2021)

Learning with User-Level Privacy. - Daniel Levy; Ziteng Sun; Kareem Amin 002; Satyen Kale; Alex Kulesza; Mehryar Mohri; Ananda Theertha Suresh (NeurIPS, 2021)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Hubert Eichner; et al. (Found. Trends Mach. Learn., 2021)

Inference Under Information Constraints III: Local Privacy Constraints. - Jayadev Acharya; Clément L. Canonne; Cody Freitag; Ziteng Sun; Himanshu Tyagi (IEEE J. Sel. Areas Inf. Theory, 2021)

The Role of Interactivity in Structured Estimation. - Jayadev Acharya; Clément L. Canonne; Himanshu Tyagi; Ziteng Sun (COLT, 2022)

Correlated Quantization for Distributed Mean Estimation and Optimization. - Ananda Theertha Suresh; Ziteng Sun; Jae Ro; Felix X. Yu (ICML, 2022)

Interactive Inference Under Information Constraints. - Jayadev Acharya; Clément L. Canonne; Yuhan Liu; Ziteng Sun; Himanshu Tyagi (IEEE Trans. Inf. Theory, 2022)

Sample Complexity of Distinguishing Cause from Effect. - Jayadev Acharya; Sourbh Bhadane; Arnab Bhattacharyya 001; Saravanan Kandasamy 002; Ziteng Sun (AISTATS, 2023)

Discrete Distribution Estimation under User-level Local Differential Privacy. - Jayadev Acharya; Yuhan Liu; Ziteng Sun (AISTATS, 2023)

User-level Private Stochastic Convex Optimization with Optimal Rates. - Raef Bassily; Ziteng Sun (ICML, 2023)

Subset-Based Instance Optimality in Private Estimation. - Travis Dick; Alex Kulesza; Ziteng Sun; Ananda Theertha Suresh (ICML, 2023)

Federated Heavy Hitter Recovery under Linear Sketching. - Adrià Gascón; Peter Kairouz; Ziteng Sun; Ananda Theertha Suresh (ICML, 2023)

Concentration Bounds for Discrete Distribution Estimation in KL Divergence. - Clément L. Canonne; Ziteng Sun; Ananda Theertha Suresh (ISIT, 2023)

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints. - Jayadev Acharya; Clément L. Canonne; Ziteng Sun; Himanshu Tyagi (NeurIPS, 2023)

SpecTr: Fast Speculative Decoding via Optimal Transport. - Ziteng Sun; Ananda Theertha Suresh; Jae Hun Ro; Ahmad Beirami; Himanshu Jain; Felix X. Yu (NeurIPS, 2023)

The importance of feature preprocessing for differentially private linear optimization. - Ziteng Sun; Ananda Theertha Suresh; Aditya Krishna Menon (ICLR, 2024)

Asymptotics of Language Model Alignment. - Joy Qiping Yang; Salman Salamatian; Ziteng Sun; Ananda Theertha Suresh; Ahmad Beirami (ISIT, 2024)

Optimal Block-Level Draft Verification for Accelerating Speculative Decoding. - Ziteng Sun; Jae Hun Ro; Ahmad Beirami; Ananda Theertha Suresh (CoRR, 2024)

Private federated discovery of out-of-vocabulary words for Gboard. - Ziteng Sun; Peter Kairouz; Haicheng Sun; Adrià Gascón; Ananda Theertha Suresh (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)

Block Verification Accelerates Speculative Decoding. - Ziteng Sun; Uri Mendlovic; Yaniv Leviathan; Asaf Aharoni; Jae Hun Ro; Ahmad Beirami; Ananda Theertha Suresh (ICLR, 2025)

SPECS: Faster Test-Time Scaling through Speculative Drafts. - Mert Cemri; Nived Rajaraman; Rishabh Tiwari; Xiaoxuan Liu; Kurt Keutzer; Ion Stoica; Kannan Ramchandran; Ahmad Beirami; Ziteng Sun (CoRR, 2025)