Peter Kairouz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
16
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Language Models May Verbatim Complete Text They Were Not Explicitly Trained On. | Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot |
| 2024 | CCS | AirGapAgent: Protecting Privacy-Conscious Conversational Agents. | Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage |
| 2024 | EMNLP | User Inference Attacks on Large Language Models. | Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu |
| 2024 | ICLR | One-shot Empirical Privacy Estimation for Federated Learning. | Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, Hugh Brendan McMahan, Vinith Menon Suriyakumar |
| 2024 | ICML | Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. | Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu |
| 2024 | ICML | Privacy-Preserving Instructions for Aligning Large Language Models. | Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu |
| 2023 | ACL | Federated Learning of Gboard Language Models with Differential Privacy. | Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang |
| 2023 | ICML | Federated Heavy Hitter Recovery under Linear Sketching. | Adri Gascn, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ICML | Algorithms for bounding contribution for histogram estimation under user-level privacy. | Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser |
| 2023 | ICML | Private Federated Learning with Autotuned Compression. | Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh |
| 2022 | AISTATS | Optimal Compression of Locally Differentially Private Mechanisms. | Abhin Shah, Wei-Ning Chen, Johannes Ball, Peter Kairouz, Lucas Theis |
| 2022 | ICML | The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. | Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh |
| 2022 | ICML | The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation. | Wei-Ning Chen, Ayfer zgr, Peter Kairouz |
| 2022 | SP | Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning. | Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage |
| 2021 | AISTATS | Shuffled Model of Differential Privacy in Federated Learning. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh |
| 2021 | ALT | Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. | Jayadev Acharya, Peter Kairouz, Yuhan Liu, Ziteng Sun |
| 2021 | CCS | On the Rnyi Differential Privacy of the Shuffle Model. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz |
| 2021 | COLT | Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints. | Wei-Ning Chen, Peter Kairouz, Ayfer zgr |
| 2021 | COLT | (Nearly) Dimension Independent Private ERM with AdaGrad Ratesvia Publicly Estimated Subspaces. | Peter Kairouz, Mnica Ribero Diaz, Keith Rush, Abhradeep Thakurta |
| 2021 | ICML | The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation. | Peter Kairouz, Ziyu Liu, Thomas Steinke |
| 2021 | ICML | Practical and Private (Deep) Learning Without Sampling or Shuffling. | Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu |
| 2021 | ISIT | Neural Network-based Estimation of the MMSE. | Mario Daz, Peter Kairouz, Jiachun Liao, Lalitha Sankar |
| 2020 | AISTATS | Federated Heavy Hitters Discovery with Differential Privacy. | Wennan Zhu, Peter Kairouz, Brendan McMahan, Haicheng Sun, Wei Li |
| 2020 | ICLR | Generative Models for Effective ML on Private, Decentralized Datasets. | Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agera y Arcas |
| 2020 | ICML | Context Aware Local Differential Privacy. | Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun |
| 2019 | CVPR | DP-CGAN: Differentially Private Synthetic Data and Label Generation. | Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten |
| 2019 | ISIT | A Group Testing Approach to Random Access for Short-Packet Communication. | Huseyin A. Inan, Surin Ahn, Peter Kairouz, Ayfer zgr |
| 2019 | ISIT | A Tunable Loss Function for Binary Classification. | Tyler Sypherd, Mario Daz, Lalitha Sankar, Peter Kairouz |
| 2018 | ACCV | Siamese Generative Adversarial Privatizer for Biometric Data. | Witold Oleszkiewicz, Peter Kairouz, Karol J. Piczak, Ram Rajagopal, Tomasz Trzcinski |
| 2018 | ACSSC | Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy. | Chong Huang, Peter Kairouz, Lalitha Sankar |
| 2018 | ISIT | Energy-limited Massive Random Access via Noisy Group Testing. | Huseyin A. Inan, Peter Kairouz, Ayfer zgr |
| 2016 | CISS | Differentially private multi-party computation. | Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2016 | ICML | Metadata-conscious anonymous messaging. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath |
| 2016 | ICML | Discrete Distribution Estimation under Local Privacy. | Peter Kairouz, Kallista A. Bonawitz, Daniel Ramage |
| 2016 | SIGMETRICS | Rumor Source Obfuscation on Irregular Trees. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath |
| 2015 | ICML | The Composition Theorem for Differential Privacy. | Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2015 | SIGMETRICS | Spy vs. Spy: Rumor Source Obfuscation. | Giulia Fanti, Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2013 | ICASSP | Interference-aware rate control for bursty interference channels. | Peter Kairouz, Ahmed K. Sadek, Tamer Kadous |
| 2012 | ACSSC | Convergence rates for cooperation in heterogeneous populations. | Andrew J. Bean, Peter Kairouz, Andrew C. Singer |
| 2012 | ACSSC | A sphere decoding approach for the vector Viterbi algorithm. | Peter Kairouz, Aolin Xu, Naresh R. Shanbhag, Andrew C. Singer |