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Invited Talk: Kamalika Chaudhuri
Kamalika Chaudhuri
Fri Jul 23 11:00 AM -- 11:40 AM (PDT) @
Author Information
Kamalika Chaudhuri (University of California at San Diego)
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2021 : Understanding Instance-based Interpretability of Variational Auto-Encoders »
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2021 : Privacy Amplification by Bernoulli Sampling »
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2021 : A Shuffling Framework For Local Differential Privacy »
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2021 : Privacy Amplification by Subsampling in Time Domain »
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2022 : Understanding Rare Spurious Correlations in Neural Networks »
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2023 : Machine Learning with Feature Differential Privacy »
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2023 : Panel Discussion »
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2023 : Kamalika Chaudhuri »
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2023 Poster: Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design »
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2023 Oral: Why does Throwing Away Data Improve Worst-Group Error? »
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2023 Poster: Data-Copying in Generative Models: A Formal Framework »
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2023 Poster: A Two-Stage Active Learning Algorithm for k-Nearest Neighbors »
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2023 Poster: Why does Throwing Away Data Improve Worst-Group Error? »
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2022 Poster: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
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2022 Spotlight: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
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2022 Poster: Bounding Training Data Reconstruction in Private (Deep) Learning »
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2022 Oral: Bounding Training Data Reconstruction in Private (Deep) Learning »
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2021 : Discussion Panel #2 »
Bo Li · Nicholas Carlini · Andrzej Banburski · Kamalika Chaudhuri · Will Xiao · Cihang Xie -
2021 : Invited Talk #9 »
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2021 : Invited Talk: Kamalika Chaudhuri »
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2021 : Live Panel Discussion »
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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 »
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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 »
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2020 Poster: When are Non-Parametric Methods Robust? »
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2019 Talk: Opening Remarks »
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2018 Poster: Active Learning with Logged Data »
Songbai Yan · Kamalika Chaudhuri · Tara Javidi -
2018 Poster: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
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2018 Oral: Active Learning with Logged Data »
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2018 Oral: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
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2017 Workshop: Picky Learners: Choosing Alternative Ways to Process Data. »
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2017 Poster: Active Heteroscedastic Regression »
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2017 Talk: Active Heteroscedastic Regression »
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