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Location Trace Privacy Under Conditional Priors


Feb 23, 2021
Casey Meehan, Kamalika Chaudhuri

* To be published in the proceedings of AISTATS 2021 

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Consistent Non-Parametric Methods for Adaptive Robustness


Feb 18, 2021
Robi Bhattacharjee, Kamalika Chaudhuri


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Connecting Interpretability and Robustness in Decision Trees through Separation


Feb 14, 2021
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri


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Sample Complexity of Adversarially Robust Linear Classification on Separated Data


Dec 19, 2020
Robi Bhattacharjee, Somesh Jha, Kamalika Chaudhuri


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Close Category Generalization


Nov 17, 2020
Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri


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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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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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