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Spotlight
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Tue 5:35 |
Strategic Classification Made Practical Sagi Levanon, Nir Rosenfeld |
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Spotlight
|
Tue 6:45 |
Value Alignment Verification Daniel Brown, Jordan Schneider, Anca Dragan, Scott Niekum |
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Spotlight
|
Tue 7:40 |
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond Dennis Wei |
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Poster
|
Tue 9:00 |
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond Dennis Wei |
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Poster
|
Tue 9:00 |
Strategic Classification Made Practical Sagi Levanon, Nir Rosenfeld |
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Poster
|
Tue 9:00 |
Value Alignment Verification Daniel Brown, Jordan Schneider, Anca Dragan, Scott Niekum |
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Spotlight
|
Tue 17:20 |
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H Danesh, Anurag Koul, Alan Fern, Saeed Khorram |
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Spotlight
|
Tue 18:25 |
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach |
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Spotlight
|
Tue 18:30 |
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri |
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Spotlight
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Tue 18:40 |
Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed, Daniel Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca Dragan, Ken Goldberg |
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Spotlight
|
Tue 19:45 |
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet, Joel Lehman |
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Poster
|
Tue 21:00 |
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H Danesh, Anurag Koul, Alan Fern, Saeed Khorram |
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Poster
|
Tue 21:00 |
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet, Joel Lehman |
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Poster
|
Tue 21:00 |
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Weiss Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach |
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Poster
|
Tue 21:00 |
Policy Gradient Bayesian Robust Optimization for Imitation Learning Zaynah Javed, Daniel Brown, Satvik Sharma, Jerry Zhu, Ashwin Balakrishna, Marek Petrik, Anca Dragan, Ken Goldberg |
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Poster
|
Tue 21:00 |
Connecting Interpretability and Robustness in Decision Trees through Separation Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri |
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Spotlight
|
Wed 5:35 |
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson, Djork-Arné Clevert, Floriane Montanari |
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Spotlight
|
Wed 5:40 |
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Hima Lakkaraju |
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Spotlight
|
Wed 6:40 |
Approximate Group Fairness for Clustering Bo Li, Lijun Li, Ankang Sun, Chenhao Wang, Yingfan Wang |
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Spotlight
|
Wed 6:40 |
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar, Vincent Guigue, Romain Hennequin |
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Spotlight
|
Wed 6:40 |
What does LIME really see in images? Damien Garreau, Dina Mardaoui |
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Spotlight
|
Wed 7:40 |
Collaborative Bayesian Optimization with Fair Regret Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet |
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Spotlight
|
Wed 7:40 |
Multi-group Agnostic PAC Learnability Guy Rothblum, Gal Yona |
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Poster
|
Wed 9:00 |
Collaborative Bayesian Optimization with Fair Regret Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet |
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Poster
|
Wed 9:00 |
Multi-group Agnostic PAC Learnability Guy Rothblum, Gal Yona |
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Poster
|
Wed 9:00 |
Approximate Group Fairness for Clustering Bo Li, Lijun Li, Ankang Sun, Chenhao Wang, Yingfan Wang |
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Poster
|
Wed 9:00 |
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Hima Lakkaraju |
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Poster
|
Wed 9:00 |
What does LIME really see in images? Damien Garreau, Dina Mardaoui |
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|
Poster
|
Wed 9:00 |
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson, Djork-Arné Clevert, Floriane Montanari |
|
|
Poster
|
Wed 9:00 |
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar, Vincent Guigue, Romain Hennequin |
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Spotlight
|
Wed 17:20 |
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data Esther Rolf, Theodora Worledge, Benjamin Recht, Michael Jordan |
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Spotlight
|
Wed 18:25 |
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi |
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Spotlight
|
Wed 19:35 |
Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Weinberger |
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Poster
|
Wed 21:00 |
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi |
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Poster
|
Wed 21:00 |
Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Weinberger |
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Poster
|
Wed 21:00 |
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data Esther Rolf, Theodora Worledge, Benjamin Recht, Michael Jordan |
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|
Oral
|
Thu 5:00 |
Fair Selective Classification Via Sufficiency Joshua Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory Wornell |
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|
Spotlight
|
Thu 5:20 |
Learning Representations by Humans, for Humans Sophie Hilgard, Nir Rosenfeld, Mahzarin Banaji, Jack Cao, David Parkes |
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|
Spotlight
|
Thu 5:25 |
Strategic Classification in the Dark Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld |
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|
Spotlight
|
Thu 5:30 |
Fairness for Image Generation with Uncertain Sensitive Attributes Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price |
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|
Spotlight
|
Thu 5:35 |
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova |
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|
Spotlight
|
Thu 5:40 |
GANMEX: One-vs-One Attributions using GAN-based Model Explainability Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin |
|
|
Spotlight
|
Thu 5:45 |
Directional Bias Amplification Angelina Wang, Olga Russakovsky |
|
|
Oral
|
Thu 6:00 |
Differentially Private Query Release Through Adaptive Projection Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva |
|
|
Spotlight
|
Thu 6:20 |
Differentially Private Quantiles Jennifer Gillenwater, Matthew Joseph, Alex Kulesza |
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|
Spotlight
|
Thu 6:25 |
PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang, Gautam Kamath, Rachel Cummings |
|
|
Spotlight
|
Thu 6:30 |
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala, Rafael Dowsley, Martine De Cock |
|
|
Spotlight
|
Thu 6:40 |
Differentially Private Correlation Clustering Mark Bun, Marek Elias, Janardhan Kulkarni |
|
|
Spotlight
|
Thu 6:45 |
Scalable Certified Segmentation via Randomized Smoothing Marc Fischer, Maximilian Baader, Martin Vechev |
|
|
Spotlight
|
Thu 6:45 |
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori, Rich Caruana, Woody Bu, Judy Hanwen Shen, Janardhan Kulkarni |
|
|
Oral
|
Thu 7:00 |
Locally Private k-Means in One Round Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi |
|
|
Oral
|
Thu 7:00 |
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Guha Thakurta, Li Zhang |
|
|
Spotlight
|
Thu 7:20 |
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang, Shusen Wang |
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|
Spotlight
|
Thu 7:20 |
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik |
|
|
Spotlight
|
Thu 7:25 |
Markpainting: Adversarial Machine Learning meets Inpainting David G Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson |
|
|
Spotlight
|
Thu 7:25 |
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability Mihaela Curmei, Sarah Dean, Benjamin Recht |
|
|
Spotlight
|
Thu 7:30 |
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data Deepesh Data, Suhas Diggavi |
|
|
Spotlight
|
Thu 7:30 |
Differentially-Private Clustering of Easy Instances Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia |
|
|
Spotlight
|
Thu 7:35 |
RNNRepair: Automatic RNN Repair via Model-based Analysis Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing |
|
|
Spotlight
|
Thu 7:40 |
Adversarial Policy Learning in Two-player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing |
|
|
Spotlight
|
Thu 7:40 |
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach Raghav Singal, George Michailidis, Hoiyi Ng |
|
|
Spotlight
|
Thu 7:40 |
DeepReDuce: ReLU Reduction for Fast Private Inference Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
|
|
Spotlight
|
Thu 7:45 |
Fairness of Exposure in Stochastic Bandits Lequn Wang, Yiwei Bai, Wen Sun, Thorsten Joachims |
|
|
Spotlight
|
Thu 7:45 |
Label-Only Membership Inference Attacks Christopher Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot |
|
|
Poster
|
Thu 9:00 |
GANMEX: One-vs-One Attributions using GAN-based Model Explainability Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin |
|
|
Poster
|
Thu 9:00 |
PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang, Gautam Kamath, Rachel Cummings |
|
|
Poster
|
Thu 9:00 |
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova |
|
|
Poster
|
Thu 9:00 |
Locally Private k-Means in One Round Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi |
|
|
Poster
|
Thu 9:00 |
Differentially-Private Clustering of Easy Instances Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia |
|
|
Poster
|
Thu 9:00 |
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability Mihaela Curmei, Sarah Dean, Benjamin Recht |
|
|
Poster
|
Thu 9:00 |
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data Deepesh Data, Suhas Diggavi |
|
|
Poster
|
Thu 9:00 |
RNNRepair: Automatic RNN Repair via Model-based Analysis Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing |
|
|
Poster
|
Thu 9:00 |
Scalable Certified Segmentation via Randomized Smoothing Marc Fischer, Maximilian Baader, Martin Vechev |
|
|
Poster
|
Thu 9:00 |
Differentially Private Quantiles Jennifer Gillenwater, Matthew Joseph, Alex Kulesza |
|
|
Poster
|
Thu 9:00 |
Fairness for Image Generation with Uncertain Sensitive Attributes Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price |
|
|
Poster
|
Thu 9:00 |
Learning Representations by Humans, for Humans Sophie Hilgard, Nir Rosenfeld, Mahzarin Banaji, Jack Cao, David Parkes |
|
|
Poster
|
Thu 9:00 |
Strategic Classification in the Dark Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld |
|
|
Poster
|
Thu 9:00 |
Fair Selective Classification Via Sufficiency Joshua Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory Wornell |
|
|
Poster
|
Thu 9:00 |
Differentially Private Query Release Through Adaptive Projection Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva |
|
|
Poster
|
Thu 9:00 |
Markpainting: Adversarial Machine Learning meets Inpainting David G Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson |
|
|
Poster
|
Thu 9:00 |
Label-Only Membership Inference Attacks Christopher Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot |
|
|
Poster
|
Thu 9:00 |
Fairness of Exposure in Stochastic Bandits Lequn Wang, Yiwei Bai, Wen Sun, Thorsten Joachims |
|
|
Poster
|
Thu 9:00 |
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori, Rich Caruana, Woody Bu, Judy Hanwen Shen, Janardhan Kulkarni |
|
|
Poster
|
Thu 9:00 |
DeepReDuce: ReLU Reduction for Fast Private Inference Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
|
|
Poster
|
Thu 9:00 |
Adversarial Policy Learning in Two-player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing |
|
|
Poster
|
Thu 9:00 |
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik |
|
|
Poster
|
Thu 9:00 |
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach Raghav Singal, George Michailidis, Hoiyi Ng |
|
|
Poster
|
Thu 9:00 |
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala, Rafael Dowsley, Martine De Cock |
|
|
Poster
|
Thu 9:00 |
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Guha Thakurta, Li Zhang |
|
|
Poster
|
Thu 9:00 |
Differentially Private Correlation Clustering Mark Bun, Marek Elias, Janardhan Kulkarni |
|
|
Poster
|
Thu 9:00 |
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang, Shusen Wang |
|
|
Poster
|
Thu 9:00 |
Directional Bias Amplification Angelina Wang, Olga Russakovsky |
|
|
Oral
|
Thu 17:00 |
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher |
|
|
Spotlight
|
Thu 17:20 |
Provable Lipschitz Certification for Generative Models Matt Jordan, Alex Dimakis |
|
|
Spotlight
|
Thu 17:25 |
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou, Lei Jiang |
|
|
Spotlight
|
Thu 17:30 |
Explanations for Monotonic Classifiers. Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska |
|
|
Spotlight
|
Thu 17:35 |
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman, Kunal Talwar |
|
|
Spotlight
|
Thu 17:40 |
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li |
|
|
Spotlight
|
Thu 17:45 |
Grey-box Extraction of Natural Language Models Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, Boris Köpf |
|
|
Oral
|
Thu 18:00 |
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
|
|
Oral
|
Thu 18:00 |
Label Inference Attacks from Log-loss Scores Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Seyi Feyisetan, Nathanael Teissier |
|
|
Spotlight
|
Thu 18:20 |
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha |
|
|
Spotlight
|
Thu 18:20 |
Large Scale Private Learning via Low-rank Reparametrization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
|
|
Spotlight
|
Thu 18:20 |
Generative Causal Explanations for Graph Neural Networks Wanyu Lin, Hao Lan, Baochun Li |
|
|
Spotlight
|
Thu 18:25 |
Watermarking Deep Neural Networks with Greedy Residuals Hanwen Liu, Zhenyu Weng, Yuesheng Zhu |
|
|
Spotlight
|
Thu 18:25 |
Towards Understanding and Mitigating Social Biases in Language Models Paul Liang, Chiyu Wu, Louis-Philippe Morency, Russ Salakhutdinov |
|
|
Spotlight
|
Thu 18:25 |
Model-Targeted Poisoning Attacks with Provable Convergence Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian |
|
|
Spotlight
|
Thu 18:30 |
Practical and Private (Deep) Learning Without Sampling or Shuffling Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Guha Thakurta, Zheng Xu |
|
|
Spotlight
|
Thu 18:30 |
Differentially Private Bayesian Inference for Generalized Linear Models Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela |
|
|
Spotlight
|
Thu 18:35 |
Globally-Robust Neural Networks Klas Leino, Zifan Wang, Matt Fredrikson |
|
|
Spotlight
|
Thu 18:35 |
Leveraging Public Data for Practical Private Query Release Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Steven Wu |
|
|
Spotlight
|
Thu 18:40 |
Private Adaptive Gradient Methods for Convex Optimization Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar |
|
|
Spotlight
|
Thu 18:40 |
When Does Data Augmentation Help With Membership Inference Attacks? Yigitcan Kaya, Tudor Dumitras |
|
|
Spotlight
|
Thu 18:45 |
Correcting Exposure Bias for Link Recommendation Shantanu Gupta, Hao Wang, Zachary Lipton, Bernie Wang |
|
|
Spotlight
|
Thu 18:45 |
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier, Thibaut Vidal |
|
|
Spotlight
|
Thu 18:45 |
Oneshot Differentially Private Top-k Selection Gang Qiao, Weijie Su, Li Zhang |
|
|
Oral
|
Thu 19:00 |
Differentially Private Sliced Wasserstein Distance alain rakotomamonjy, Ralaivola Liva |
|
|
Spotlight
|
Thu 19:00 |
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé, Mihaela van der Schaar |
|
|
Spotlight
|
Thu 19:10 |
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi, Yuan Tian, Geoff Gordon, Han Zhao |
|
|
Spotlight
|
Thu 19:15 |
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang |
|
|
Spotlight
|
Thu 19:20 |
Differentially Private Densest Subgraph Detection Dung Nguyen, Anil Vullikanti |
|
|
Spotlight
|
Thu 19:20 |
DANCE: Enhancing saliency maps using decoys Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble |
|
|
Spotlight
|
Thu 19:25 |
Machine Unlearning for Random Forests Jonathan Brophy, Daniel Lowd |
|
|
Spotlight
|
Thu 19:25 |
Blind Pareto Fairness and Subgroup Robustness Natalia Martinez Gil, Martin Bertran, Afroditi Papadaki, Miguel Rodrigues, Guillermo Sapiro |
|
|
Spotlight
|
Thu 19:30 |
A Framework for Private Matrix Analysis in Sliding Window Model Jalaj Upadhyay, Sarvagya Upadhyay |
|
|
Spotlight
|
Thu 19:30 |
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions Zhong Li, Minxue Pan, Tian Zhang, Xuandong Li |
|
|
Spotlight
|
Thu 19:35 |
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz, Ziyu Liu, Thomas Steinke |
|
|
Spotlight
|
Thu 19:35 |
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla, Amit Jayant Deshpande, Anand Louis |
|
|
Spotlight
|
Thu 19:40 |
Testing Group Fairness via Optimal Transport Projections Nian Si, Karthyek Murthy, Jose Blanchet, Viet Anh Nguyen |
|
|
Spotlight
|
Thu 19:40 |
Privacy-Preserving Feature Selection with Secure Multiparty Computation Xiling Li, Rafael Dowsley, Martine De Cock |
|
|
Poster
|
Thu 21:00 |
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha |
|
|
Poster
|
Thu 21:00 |
Generative Causal Explanations for Graph Neural Networks Wanyu Lin, Hao Lan, Baochun Li |
|
|
Poster
|
Thu 21:00 |
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang |
|
|
Poster
|
Thu 21:00 |
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions Zhong Li, Minxue Pan, Tian Zhang, Xuandong Li |
|
|
Poster
|
Thu 21:00 |
Testing Group Fairness via Optimal Transport Projections Nian Si, Karthyek Murthy, Jose Blanchet, Viet Anh Nguyen |
|
|
Poster
|
Thu 21:00 |
A Framework for Private Matrix Analysis in Sliding Window Model Jalaj Upadhyay, Sarvagya Upadhyay |
|
|
Poster
|
Thu 21:00 |
Correcting Exposure Bias for Link Recommendation Shantanu Gupta, Hao Wang, Zachary Lipton, Bernie Wang |
|
|
Poster
|
Thu 21:00 |
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi, Yuan Tian, Geoff Gordon, Han Zhao |
|
|
Poster
|
Thu 21:00 |
Model-Targeted Poisoning Attacks with Provable Convergence Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian |
|
|
Poster
|
Thu 21:00 |
Blind Pareto Fairness and Subgroup Robustness Natalia Martinez Gil, Martin Bertran, Afroditi Papadaki, Miguel Rodrigues, Guillermo Sapiro |
|
|
Poster
|
Thu 21:00 |
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
|
|
Poster
|
Thu 21:00 |
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou, Lei Jiang |
|
|
Poster
|
Thu 21:00 |
Differentially Private Bayesian Inference for Generalized Linear Models Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela |
|
|
Poster
|
Thu 21:00 |
Differentially Private Sliced Wasserstein Distance alain rakotomamonjy, Ralaivola Liva |
|
|
Poster
|
Thu 21:00 |
Large Scale Private Learning via Low-rank Reparametrization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
|
|
Poster
|
Thu 21:00 |
Machine Unlearning for Random Forests Jonathan Brophy, Daniel Lowd |
|
|
Poster
|
Thu 21:00 |
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman, Kunal Talwar |
|
|
Poster
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Thu 21:00 |
Explanations for Monotonic Classifiers. Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska |
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Poster
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Thu 21:00 |
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher |
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Poster
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Thu 21:00 |
Label Inference Attacks from Log-loss Scores Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Seyi Feyisetan, Nathanael Teissier |
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Poster
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Thu 21:00 |
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé, Mihaela van der Schaar |
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Poster
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Thu 21:00 |
Watermarking Deep Neural Networks with Greedy Residuals Hanwen Liu, Zhenyu Weng, Yuesheng Zhu |
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Poster
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Thu 21:00 |
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz, Ziyu Liu, Thomas Steinke |
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Poster
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Thu 21:00 |
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla, Amit Jayant Deshpande, Anand Louis |
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Poster
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Thu 21:00 |
Grey-box Extraction of Natural Language Models Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, Boris Köpf |
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Poster
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Thu 21:00 |
Practical and Private (Deep) Learning Without Sampling or Shuffling Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Guha Thakurta, Zheng Xu |
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Poster
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Thu 21:00 |
Towards Understanding and Mitigating Social Biases in Language Models Paul Liang, Chiyu Wu, Louis-Philippe Morency, Russ Salakhutdinov |
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Poster
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Thu 21:00 |
Privacy-Preserving Feature Selection with Secure Multiparty Computation Xiling Li, Rafael Dowsley, Martine De Cock |
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Poster
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Thu 21:00 |
DANCE: Enhancing saliency maps using decoys Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble |
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Poster
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Thu 21:00 |
Optimal Counterfactual Explanations in Tree Ensembles Axel Parmentier, Thibaut Vidal |
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Poster
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Thu 21:00 |
Globally-Robust Neural Networks Klas Leino, Zifan Wang, Matt Fredrikson |
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Poster
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Thu 21:00 |
Leveraging Public Data for Practical Private Query Release Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Steven Wu |
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Poster
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Thu 21:00 |
When Does Data Augmentation Help With Membership Inference Attacks? Yigitcan Kaya, Tudor Dumitras |
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Poster
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Thu 21:00 |
Private Adaptive Gradient Methods for Convex Optimization Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar |
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Poster
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Thu 21:00 |
Oneshot Differentially Private Top-k Selection Gang Qiao, Weijie Su, Li Zhang |
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Poster
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Thu 21:00 |
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li |
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Poster
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Thu 21:00 |
Differentially Private Densest Subgraph Detection Dung Nguyen, Anil Vullikanti |
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Poster
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Thu 21:00 |
Provable Lipschitz Certification for Generative Models Matt Jordan, Alex Dimakis |