More from the Same Authors

• 2021 : Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography »
  Evan Anderson · Anuj Nayak · Pablo Robles-Granda · Lav Varshney · Been Kim · Aron K Barbey
• 2021 : When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans »
  Minae Kwon · Erdem Biyik · Aditi Talati · Karan Bhasin · Dylan Losey · Dorsa Sadigh
• 2022 : The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning »
  Chuan Guo · Kamalika Chaudhuri · Pierre STOCK · Mike Rabbat
• 2022 : Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers »
  Fatemeh Sheikholeslami · Wan-Yi Lin · Jan Hendrik Metzen · Huan Zhang · J. Zico Kolter
• 2022 : Forgetting Data from Pre-trained GANs »
  Zhifeng Kong · Kamalika Chaudhuri
• 2022 : Concept-based Understanding of Emergent Multi-Agent Behavior »
  Niko Grupen · Shayegan Omidshafiei · Natasha Jaques · Been Kim
• 2022 : On the Robustness of Safe Reinforcement Learning under Observational Perturbations »
  ZUXIN LIU · Zijian Guo · Zhepeng Cen · Huan Zhang · Jie Tan · Bo Li · DING ZHAO
• 2022 : Evaluating Worst Case Adversarial Weather Perturbations Robustness »
  Yihan Wang · Yunhao Ba · Howard Zhang · Huan Zhang · Achuta Kadambi · Stefano Soatto · Alex Wong · Cho-Jui Hsieh
• 2022 : Panel: Explainability/Predictability Robotics (Q&A 4) »
  Katherine Driggs-Campbell · Been Kim · Leila Takayama
• 2022 : Closing Remarks »
  Huan Zhang · Linyi Li
• 2022 : Invited Talk: Dorsa Sadigh »
  Dorsa Sadigh
• 2022 : Dorsa Sadigh: Aligning Robot Representations with Humans »
  Dorsa Sadigh
• 2022 : Invited Talk: Been Kim »
  Been Kim
• 2022 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2022 Workshop: Trustworthy and Socially Responsible Machine Learning »
  Huan Zhang · Linyi Li · Chaowei Xiao · J. Zico Kolter · Anima Anandkumar · Bo Li
• 2022 : Introduction and Opening Remarks »
  Huan Zhang · Linyi Li
• 2022 Spotlight: Fairness in Federated Learning via Core-Stability »
  Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta
• 2022 Spotlight: LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness »
  Xiaojun Xu · Linyi Li · Bo Li
• 2022 Spotlight: Lightning Talks 5B-1 »
  Devansh Arpit · Xiaojun Xu · Zifan Shi · Ivan Skorokhodov · Shayan Shekarforoush · Zhan Tong · Yiqun Wang · Shichong Peng · Linyi Li · Ivan Skorokhodov · Huan Wang · Yibing Song · David Lindell · Yinghao Xu · Seyed Alireza Moazenipourasil · Sergey Tulyakov · Peter Wonka · Yiqun Wang · Ke Li · David Fleet · Yujun Shen · Yingbo Zhou · Bo Li · Jue Wang · Peter Wonka · Marcus Brubaker · Caiming Xiong · Limin Wang · Deli Zhao · Qifeng Chen · Dit-Yan Yeung
• 2022 Spotlight: Certifying Some Distributional Fairness with Subpopulation Decomposition »
  Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li
• 2022 : Aligning Humans and Robots: Active Elicitation of Informative and Compatible Queries »
  Dorsa Sadigh
• 2022 : Invited Talk: Dorsa Sadigh »
  Dorsa Sadigh · Siddharth Karamcheti
• 2022 Poster: Assistive Teaching of Motor Control Tasks to Humans »
  Megha Srivastava · Erdem Biyik · Suvir Mirchandani · Noah Goodman · Dorsa Sadigh
• 2022 Poster: Improving Certified Robustness via Statistical Learning with Logical Reasoning »
  Zhuolin Yang · Zhikuan Zhao · Boxin Wang · Jiawei Zhang · Linyi Li · Hengzhi Pei · Bojan Karlaš · Ji Liu · Heng Guo · Ce Zhang · Bo Li
• 2022 Poster: Fairness in Federated Learning via Core-Stability »
  Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta
• 2022 Poster: Training and Inference on Any-Order Autoregressive Models the Right Way »
  Andy Shih · Dorsa Sadigh · Stefano Ermon
• 2022 Poster: Certifying Some Distributional Fairness with Subpopulation Decomposition »
  Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li
• 2022 Poster: LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness »
  Xiaojun Xu · Linyi Li · Bo Li
• 2022 Poster: Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation »
  Zhouxing Shi · Yihan Wang · Huan Zhang · J. Zico Kolter · Cho-Jui Hsieh
• 2022 Poster: Are AlphaZero-like Agents Robust to Adversarial Perturbations? »
  Li-Cheng Lan · Huan Zhang · Ti-Rong Wu · Meng-Yu Tsai · I-Chen Wu · Cho-Jui Hsieh
• 2022 Poster: Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis »
  Shayegan Omidshafiei · Andrei Kapishnikov · Yannick Assogba · Lucas Dixon · Been Kim
• 2022 Poster: General Cutting Planes for Bound-Propagation-Based Neural Network Verification »
  Huan Zhang · Shiqi Wang · Kaidi Xu · Linyi Li · Bo Li · Suman Jana · Cho-Jui Hsieh · J. Zico Kolter
• 2021 : Invited Talk: Dorsa Sadigh (Stanford University) on The Role of Conventions in Adaptive Human-AI Interaction »
  Dorsa Sadigh
• 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: HyperSPNs: Compact and Expressive Probabilistic Circuits »
  Andy Shih · Dorsa Sadigh · Stefano Ermon
• 2021 Poster: Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality »
  Songyuan Zhang · ZHANGJIE CAO · Dorsa Sadigh · Yanan Sui
• 2021 Poster: ELLA: Exploration through Learned Language Abstraction »
  Suvir Mirchandani · Siddharth Karamcheti · Dorsa Sadigh
• 2021 Poster: TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness »
  Zhuolin Yang · Linyi Li · Xiaojun Xu · Shiliang Zuo · Qian Chen · Pan Zhou · Benjamin Rubinstein · Ce Zhang · Bo Li
• 2021 Poster: Consistent Non-Parametric Methods for Maximizing Robustness »
  Robi Bhattacharjee · Kamalika Chaudhuri
• 2020 : Discussion Panel »
  Pete Florence · Dorsa Sadigh · Carolina Parada · Jeannette Bohg · Roberto Calandra · Peter Stone · Fabio Ramos
• 2020 : Invited Talk - "Walking the Boundary of Learning and Interaction" »
  Dorsa Sadigh · Erdem Biyik
• 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: Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond »
  Kaidi Xu · Zhouxing Shi · Huan Zhang · Yihan Wang · Kai-Wei Chang · Minlie Huang · Bhavya Kailkhura · Xue Lin · Cho-Jui Hsieh
• 2020 Poster: Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations »
  Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
• 2020 Spotlight: Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations »
  Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
• 2020 Poster: A Closer Look at Accuracy vs. Robustness »
  Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
• 2020 Poster: An Efficient Adversarial Attack for Tree Ensembles »
  Chong Zhang · Huan Zhang · Cho-Jui Hsieh
• 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 : Invited talk #5 »
  Been Kim
• 2019 : Responsibilities »
  Been Kim · Liz O'Sullivan · Friederike Schuur · Andrew Smart · Jacob Metcalf
• 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 : Panel »
  Yimeng Zhang · Alfredo Canziani · Marco Pavone · Dorsa Sadigh · Kurt Keutzer
• 2018 : Invited Talk: Dorsa Sadigh, Stanford »
  Dorsa Sadigh
• 2018 : Invited talk 3: Challenges in the Privacy-Preserving Analysis of Structured Data »
  Kamalika Chaudhuri
• 2018 : Plenary Talk 2 »
  Kamalika Chaudhuri
• 2018 : Dorsa Sadigh »
  Dorsa Sadigh
• 2018 Workshop: Workshop on Security in Machine Learning »
  Nicolas Papernot · Jacob Steinhardt · Matt Fredrikson · Kamalika Chaudhuri · Florian Tramer
• 2018 Poster: Multi-Agent Generative Adversarial Imitation Learning »
  Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon
• 2017 : Invited Talk 1 »
  Been Kim
• 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 Workshop: Interpretable Machine Learning for Complex Systems »
  Andrew Wilson · Been Kim · William Herlands
• 2016 Oral: Examples are not enough, learn to criticize! Criticism for Interpretability »
  Been Kim · Sanmi Koyejo · Rajiv Khanna
• 2016 Poster: Examples are not enough, learn to criticize! Criticism for Interpretability »
  Been Kim · Sanmi Koyejo · Rajiv Khanna
• 2016 Poster: Active Learning from Imperfect Labelers »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2015 : Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 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: Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction »
  Been Kim · Julie A Shah · Finale Doshi-Velez
• 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
• 2014 Poster: The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification »
  Been Kim · Cynthia Rudin · Julie A Shah
• 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