More from the Same Authors

• 2022 : The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning »
  Chuan Guo · Kamalika Chaudhuri · Pierre STOCK · Mike Rabbat
• 2022 : Forgetting Data from Pre-trained GANs »
  Zhifeng Kong · Kamalika Chaudhuri
• 2022 : Panel Discussion »
  Kamalika Chaudhuri · Been Kim · Dorsa Sadigh · Huan Zhang · Linyi Li
• 2022 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2021 Workshop: Privacy in Machine Learning (PriML) 2021 »
  Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu
• 2021 Poster: Understanding Instance-based Interpretability of Variational Auto-Encoders »
  Zhifeng Kong · Kamalika Chaudhuri
• 2021 Poster: Consistent Non-Parametric Methods for Maximizing Robustness »
  Robi Bhattacharjee · Kamalika Chaudhuri
• 2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
  Borja Balle · James Bell · Aurélien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller
• 2020 Poster: A Closer Look at Accuracy vs. Robustness »
  Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
• 2019 : Audrey Durand, Douwe Kiela, Kamalika Chaudhuri moderated by Yann Dauphin »
  Audrey Durand · Kamalika Chaudhuri · Yann Dauphin · Orhan Firat · Dilan Gorur · Douwe Kiela
• 2019 : Kamalika Chaudhuri - A Three Sample Test to Detect Data Copying in Generative Models »
  Kamalika Chaudhuri
• 2019 Workshop: Privacy in Machine Learning (PriML) »
  Borja Balle · Kamalika Chaudhuri · Antti Honkela · Antti Koskela · Casey Meehan · Mi Jung Park · Mary Anne Smart · Mary Anne Smart · Adrian Weller
• 2019 Poster: The Label Complexity of Active Learning from Observational Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2019 Poster: Capacity Bounded Differential Privacy »
  Kamalika Chaudhuri · Jacob Imola · Ashwin Machanavajjhala
• 2018 : Invited talk 3: Challenges in the Privacy-Preserving Analysis of Structured Data »
  Kamalika Chaudhuri
• 2018 : Plenary Talk 2 »
  Kamalika Chaudhuri
• 2018 Workshop: Workshop on Security in Machine Learning »
  Nicolas Papernot · Jacob Steinhardt · Matt Fredrikson · Kamalika Chaudhuri · Florian Tramer
• 2017 : Analyzing Robustness of Nearest Neighbors to Adversarial Examples »
  Kamalika Chaudhuri
• 2017 Poster: Renyi Differential Privacy Mechanisms for Posterior Sampling »
  Joseph Geumlek · Shuang Song · Kamalika Chaudhuri
• 2017 Poster: Approximation and Convergence Properties of Generative Adversarial Learning »
  Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
• 2017 Spotlight: Approximation and Convergence Properties of Generative Adversarial Learning »
  Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
• 2017 Tutorial: Differentially Private Machine Learning: Theory, Algorithms and Applications »
  Kamalika Chaudhuri · Anand D Sarwate
• 2016 Poster: Active Learning from Imperfect Labelers »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2015 Workshop: Non-convex Optimization for Machine Learning: Theory and Practice »
  Anima Anandkumar · Niranjan Uma Naresh · Kamalika Chaudhuri · Percy Liang · Sewoong Oh
• 2015 Poster: Active Learning from Weak and Strong Labelers »
  Chicheng Zhang · Kamalika Chaudhuri
• 2015 Poster: Spectral Learning of Large Structured HMMs for Comparative Epigenomics »
  Chicheng Zhang · Jimin Song · Kamalika Chaudhuri · Kevin Chen
• 2015 Poster: Convergence Rates of Active Learning for Maximum Likelihood Estimation »
  Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
• 2014 Poster: Beyond Disagreement-Based Agnostic Active Learning »
  Chicheng Zhang · Kamalika Chaudhuri
• 2014 Poster: Rates of Convergence for Nearest Neighbor Classification »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2014 Spotlight: Beyond Disagreement-Based Agnostic Active Learning »
  Chicheng Zhang · Kamalika Chaudhuri
• 2014 Spotlight: Rates of Convergence for Nearest Neighbor Classification »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2014 Poster: The Large Margin Mechanism for Differentially Private Maximization »
  Kamalika Chaudhuri · Daniel Hsu · Shuang Song
• 2013 Poster: A Stability-based Validation Procedure for Differentially Private Machine Learning »
  Kamalika Chaudhuri · Staal A Vinterbo
• 2012 Poster: Near-optimal Differentially Private Principal Components »
  Kamalika Chaudhuri · Anand D Sarwate · Kaushik Sinha
• 2011 Poster: Spectral Methods for Learning Multivariate Latent Tree Structure »
  Anima Anandkumar · Kamalika Chaudhuri · Daniel Hsu · Sham M Kakade · Le Song · Tong Zhang
• 2010 Poster: Rates of convergence for the cluster tree »
  Kamalika Chaudhuri · Sanjoy Dasgupta
• 2009 Poster: A Parameter-free Hedging Algorithm »
  Kamalika Chaudhuri · Yoav Freund · Daniel Hsu
• 2008 Poster: Privacy-preserving logistic regression »
  Kamalika Chaudhuri · Claire Monteleoni