More from the Same Authors

• 2021 : Understanding Instance-based Interpretability of Variational Auto-Encoders »
  · Zhifeng Kong · Kamalika Chaudhuri
• 2021 : Neural Network-based Estimation of the MMSE »
  Mario Diaz · Peter Kairouz · Lalitha Sankar
• 2021 : The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 : On the Renyi Differential Privacy of the Shuffle Model »
  Antonious Girgis · Deepesh Data · Suhas Diggavi · Ananda Theertha Suresh · Peter Kairouz
• 2021 : Practical and Private (Deep) Learning without Sampling orShuffling »
  Peter Kairouz · Hugh B McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 : Privacy Amplification by Bernoulli Sampling »
  Jacob Imola · Kamalika Chaudhuri
• 2021 : A Shuffling Framework For Local Differential Privacy »
  Casey M Meehan · Amrita Roy Chowdhury · Kamalika Chaudhuri · Somesh Jha
• 2021 : Privacy Amplification by Subsampling in Time Domain »
  Tatsuki Koga · Casey M Meehan · Kamalika Chaudhuri
• 2021 : Industrial Booth (Google) »
  Zheng Xu · Peter Kairouz
• 2022 : Fair Universal Representations using Adversarial Models »
  Monica Welfert · Peter Kairouz · Jiachun Liao · Chong Huang · Lalitha Sankar
• 2022 : Understanding Rare Spurious Correlations in Neural Networks »
  Yao-Yuan Yang · Chi-Ning Chou · Kamalika Chaudhuri
• 2023 : Counterfactual Memorization in Neural Language Models »
  Chiyuan Zhang · Daphne Ippolito · Katherine Lee · Matthew Jagielski · Florian Tramer · Nicholas Carlini
• 2023 : Machine Learning with Feature Differential Privacy »
  Saeed Mahloujifar · Chuan Guo · G. Edward Suh · Kamalika Chaudhuri
• 2023 : Unleashing the Power of Randomization in Auditing Differentially Private ML »
  Krishna Pillutla · Galen Andrew · Peter Kairouz · Hugh B McMahan · Alina Oprea · Sewoong Oh
• 2023 : Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation »
  Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz
• 2023 : Federated Heavy Hitter Recovery under Linear Sketching »
  Adria Gascon · Peter Kairouz · Ziteng Sun · Ananda Suresh
• 2023 : Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2023 Workshop: Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities »
  Zheng Xu · Peter Kairouz · Bo Li · Tian Li · John Nguyen · Jianyu Wang · Shiqiang Wang · Ayfer Ozgur
• 2023 Workshop: Challenges in Deployable Generative AI »
  Swami Sankaranarayanan · Thomas Hartvigsen · Camille Bilodeau · Ryutaro Tanno · Cheng Zhang · Florian Tramer · Phillip Isola
• 2023 Poster: Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design »
  Chuan Guo · Kamalika Chaudhuri · Pierre Stock · Michael Rabbat
• 2023 Poster: Federated Heavy Hitter Recovery under Linear Sketching »
  Adria Gascon · Peter Kairouz · Ziteng Sun · Ananda Suresh
• 2023 Poster: SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models »
  Guangxuan Xiao · Ji Lin · Mickael Seznec · Hao Wu · Julien Demouth · Song Han
• 2023 Oral: Why does Throwing Away Data Improve Worst-Group Error? »
  Kamalika Chaudhuri · Kartik Ahuja · Martin Arjovsky · David Lopez-Paz
• 2023 Poster: Private Federated Learning with Autotuned Compression »
  Enayat Ullah · Christopher Choquette-Choo · Peter Kairouz · Sewoong Oh
• 2023 Poster: Algorithms for bounding contribution for histogram estimation under user-level privacy »
  Yuhan Liu · Ananda Suresh · Wennan Zhu · Peter Kairouz · Marco Gruteser
• 2023 Poster: Data-Copying in Generative Models: A Formal Framework »
  Robi Bhattacharjee · Sanjoy Dasgupta · Kamalika Chaudhuri
• 2023 Poster: A Two-Stage Active Learning Algorithm for k-Nearest Neighbors »
  Nicholas Rittler · Kamalika Chaudhuri
• 2023 Poster: Why does Throwing Away Data Improve Worst-Group Error? »
  Kamalika Chaudhuri · Kartik Ahuja · Martin Arjovsky · David Lopez-Paz
• 2022 Poster: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
  Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
• 2022 Poster: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
  Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
• 2022 Poster: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 2022 Spotlight: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
  Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
• 2022 Oral: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 2022 Spotlight: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
  Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
• 2022 Poster: Bounding Training Data Reconstruction in Private (Deep) Learning »
  Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
• 2022 Oral: Bounding Training Data Reconstruction in Private (Deep) Learning »
  Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
• 2021 : Discussion Panel #2 »
  Bo Li · Nicholas Carlini · Andrzej Banburski · Kamalika Chaudhuri · Will Xiao · Cihang Xie
• 2021 : Invited Talk #9 »
  Kamalika Chaudhuri
• 2021 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2021 : Industrial Panel »
  Nathalie Baracaldo · Shiqiang Wang · Peter Kairouz · Zheng Xu · Kshitiz Malik · Tao Zhang
• 2021 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2021 : Live Panel Discussion »
  Thomas Dietterich · Chelsea Finn · Kamalika Chaudhuri · Yarin Gal · Uri Shalit
• 2021 : Contributed Talks Session 1 »
  Marika Swanberg · Samuel Haney · Peter Kairouz
• 2021 Poster: Practical and Private (Deep) Learning Without Sampling or Shuffling »
  Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 Poster: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 Spotlight: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 Spotlight: Practical and Private (Deep) Learning Without Sampling or Shuffling »
  Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 Poster: Sample Complexity of Robust Linear Classification on Separated Data »
  Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
• 2021 Spotlight: Sample Complexity of Robust Linear Classification on Separated Data »
  Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
• 2021 Poster: Connecting Interpretability and Robustness in Decision Trees through Separation »
  Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
• 2021 Spotlight: Connecting Interpretability and Robustness in Decision Trees through Separation »
  Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
• 2020 Poster: When are Non-Parametric Methods Robust? »
  Robi Bhattacharjee · Kamalika Chaudhuri
• 2020 Poster: Context Aware Local Differential Privacy »
  Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
• 2019 : Hardware Efficiency Aware Neural Architecture Search and Compression »
  Song Han
• 2019 Talk: Opening Remarks »
  Kamalika Chaudhuri · Ruslan Salakhutdinov
• 2018 Poster: Active Learning with Logged Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2018 Poster: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
  Yizhen Wang · Somesh Jha · Kamalika Chaudhuri
• 2018 Poster: Path-Level Network Transformation for Efficient Architecture Search »
  Han Cai · Jiacheng Yang · Weinan Zhang · Song Han · Yong Yu
• 2018 Oral: Active Learning with Logged Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2018 Oral: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
  Yizhen Wang · Somesh Jha · Kamalika Chaudhuri
• 2018 Oral: Path-Level Network Transformation for Efficient Architecture Search »
  Han Cai · Jiacheng Yang · Weinan Zhang · Song Han · Yong Yu
• 2017 Workshop: Picky Learners: Choosing Alternative Ways to Process Data. »
  Corinna Cortes · Kamalika Chaudhuri · Giulia DeSalvo · Ningshan Zhang · Chicheng Zhang
• 2017 Poster: Active Heteroscedastic Regression »
  Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan
• 2017 Talk: Active Heteroscedastic Regression »
  Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan