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Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning

Nov 13, 2020
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang


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Multitask Bandit Learning through Heterogeneous Feedback Aggregation

Oct 29, 2020
Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri


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Trustworthy AI Inference Systems: An Industry Research View

Aug 10, 2020
Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton


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The Expressive Power of a Class of Normalizing Flow Models

May 31, 2020
Zhifeng Kong, Kamalika Chaudhuri

* 29 pages, 7 figures; to appear on AISTATS 2020 

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Successive Refinement of Privacy

May 24, 2020
Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas Diggavi


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Adversarial Robustness Through Local Lipschitzness

Apr 16, 2020
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri


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A Non-Parametric Test to Detect Data-Copying in Generative Models

Apr 12, 2020
Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta

* To be published in AISTATS 2020 

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When are Non-Parametric Methods Robust?

Mar 13, 2020
Robi Bhattacharjee, Kamalika Chaudhuri

* under review for ICML 2020 

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Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations

Feb 24, 2020
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou

* 20 pages, 2 figures, under review by ICML 

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Location Trace Privacy Under Conditional Priors

Dec 09, 2019
Casey Meehan, Kamalika Chaudhuri

* Included in NeurIPS 2019 PriML workshop https://priml-workshop.github.io/priml2019/ 

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Capacity Bounded Differential Privacy

Jul 03, 2019
Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala

* 10 pages, 2 figures, Neurips 2019 

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Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits

Jun 07, 2019
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri


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The Label Complexity of Active Learning from Observational Data

May 29, 2019
Songbai Yan, Kamalika Chaudhuri, Tara Javidi


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An Investigation of Data Poisoning Defenses for Online Learning

May 28, 2019
Yizhen Wang, Kamalika Chaudhuri


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Model Extraction and Active Learning

Dec 04, 2018
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan


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The Inductive Bias of Restricted f-GANs

Sep 12, 2018
Shuang Liu, Kamalika Chaudhuri


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Data Poisoning Attacks against Online Learning

Aug 27, 2018
Yizhen Wang, Kamalika Chaudhuri


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Analyzing the Robustness of Nearest Neighbors to Adversarial Examples

Jul 15, 2018
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri


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Active Learning with Logged Data

Jun 13, 2018
Songbai Yan, Kamalika Chaudhuri, Tara Javidi

* ICML 2018 

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Variational Bayes In Private Settings (VIPS)

Mar 06, 2018
Mijung Park, James Foulds, Kamalika Chaudhuri, Max Welling

* The previous version of this paper had an error in the composition method we used. This version fixed that error 

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Spectral Learning of Binomial HMMs for DNA Methylation Data

Feb 07, 2018
Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri


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Rényi Differential Privacy Mechanisms for Posterior Sampling

Oct 02, 2017
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri

* to be published in NIPS 2017 

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Composition Properties of Inferential Privacy for Time-Series Data

Jul 10, 2017
Shuang Song, Kamalika Chaudhuri


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Approximation and Convergence Properties of Generative Adversarial Learning

May 24, 2017
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri


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Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Mar 23, 2017
Xi Wu, Fengan Li, Arun Kumar, Kamalika Chaudhuri, Somesh Jha, Jeffrey F. Naughton


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Pufferfish Privacy Mechanisms for Correlated Data

Mar 12, 2017
Shuang Song, Yizhen Wang, Kamalika Chaudhuri


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Private Topic Modeling

Nov 28, 2016
Mijung Park, James Foulds, Kamalika Chaudhuri, Max Welling


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