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Kamalika Chaudhuri

66 papers · 2008–2026 · 10 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Kamalika Chaudhuri?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Chuan Guo, Robi Bhattacharjee, Casey Meehan 29 papers · 2010–2026 · ICML, NeurIPS, AISTATS Hide ▲
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift ALT 2026 ExpProof : Operationalizing Explanations for Confidential Models with ZKPs ICML 2025 Differentially Private Representation Learning via Image Captioning ICML 2024 Déjà Vu Memorization in Vision–Language Models NeurIPS 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024 A Two-Stage Active Learning Algorithm for k-Nearest Neighbors ICML 2023 Agnostic Multi-Group Active Learning NeurIPS 2023 Data-Copying in Generative Models: A Formal Framework ICML 2023 Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Robust Empirical Risk Minimization with Tolerance ALT 2023 Bounding Training Data Reconstruction in Private (Deep) Learning ICML 2022 Privacy Amplification by Subsampling in Time Domain AISTATS 2022 Privacy Implications of Shuffling ICLR 2022 Privacy-aware compression for federated data analysis UAI 2022 Sentence-level Privacy for Document Embeddings ACL 2022 Connecting Interpretability and Robustness in Decision Trees through Separation ICML 2021 Consistent Non-Parametric Methods for Maximizing Robustness NeurIPS 2021 Location Trace Privacy Under Conditional Priors AISTATS 2021 Sample Complexity of Robust Linear Classification on Separated Data ICML 2021 A Closer Look at Accuracy vs. Robustness NeurIPS 2020 A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020 Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020 When are Non-Parametric Methods Robust? ICML 2020 Analyzing the Robustness of Nearest Neighbors to Adversarial Examples ICML 2018 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 Rates of convergence for the cluster tree NeurIPS 2010
14 papers whose co-authors appear nowhere else under this name
Auditing f-differential privacy in one run ICML 2025 Distribution Learning with Valid Outputs Beyond the Worst-Case NeurIPS 2024 Effective pruning of web-scale datasets based on complexity of concept clusters ICLR 2024 On Differentially Private U Statistics NeurIPS 2024 Why does Throwing Away Data Improve Worst-Group Error? ICML 2023 Privacy Amplification via Shuffling for Linear Contextual Bandits ALT 2022 Approximate Data Deletion from Machine Learning Models AISTATS 2021 Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020 Capacity Bounded Differential Privacy NeurIPS 2019 Active Heteroscedastic Regression ICML 2017 Approximation and Convergence Properties of Generative Adversarial Learning NeurIPS 2017 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012 Sample Complexity Bounds for Differentially Private Learning COLT 2011

Venues · all papers under this name

NeurIPS (26) ICML (17) AISTATS (9) ALT (3) COLT (3) JMLR (3) ICLR (2) ACL (1) IJCAI (1) UAI (1)