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Spotlight
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Tue 18:30 |
Learning While Playing in Mean-Field Games: Convergence and Optimality Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca |
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Spotlight
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Tue 19:20 |
Catformer: Designing Stable Transformers via Sensitivity Analysis Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Re, Chelsea Finn, Percy Liang |
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Poster
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Tue 21:00 |
Catformer: Designing Stable Transformers via Sensitivity Analysis Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Re, Chelsea Finn, Percy Liang |
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Poster
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Tue 21:00 |
Learning While Playing in Mean-Field Games: Convergence and Optimality Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca |
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Spotlight
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Wed 6:30 |
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman, Niklas Hopner, Filippos Christianos, Stefano V. Albrecht |
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Spotlight
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Wed 7:20 |
Learning from Biased Data: A Semi-Parametric Approach Patrice Bertail, Stephan Clémençon, Yannick Guyonvarch, Nathan NOIRY |
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Poster
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Wed 9:00 |
Learning from Biased Data: A Semi-Parametric Approach Patrice Bertail, Stephan Clémençon, Yannick Guyonvarch, Nathan NOIRY |
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Poster
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Wed 9:00 |
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman, Niklas Hopner, Filippos Christianos, Stefano V. Albrecht |
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Oral
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Thu 6:00 |
Differentially Private Query Release Through Adaptive Projection Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva |
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Spotlight
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Thu 6:20 |
Differentially Private Quantiles Jennifer Gillenwater, Matthew Joseph, Alex Kulesza |
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Spotlight
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Thu 6:25 |
PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang, Gautam Kamath, Rachel Cummings |
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Spotlight
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Thu 6:25 |
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan, Jinwoo Shin, Sung Ju Hwang |
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Spotlight
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Thu 6:30 |
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala, Rafael Dowsley, Martine De Cock |
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Spotlight
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Thu 6:40 |
Differentially Private Correlation Clustering Mark Bun, Marek Elias, Janardhan Kulkarni |
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Spotlight
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Thu 6:45 |
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori, Rich Caruana, Woody Bu, Judy Hanwen Shen, Janardhan Kulkarni |
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Oral
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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 |
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Oral
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Thu 7:00 |
Locally Private k-Means in One Round Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi |
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Spotlight
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Thu 7:20 |
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang, Shusen Wang |
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Spotlight
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Thu 7:20 |
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik |
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Spotlight
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Thu 7:25 |
Markpainting: Adversarial Machine Learning meets Inpainting David G Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson |
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Spotlight
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Thu 7:30 |
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data Deepesh Data, Suhas Diggavi |
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Spotlight
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Thu 7:30 |
Differentially-Private Clustering of Easy Instances Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia |
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Spotlight
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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 |
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Spotlight
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Thu 7:40 |
Adversarial Policy Learning in Two-player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing |
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Spotlight
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Thu 7:40 |
DeepReDuce: ReLU Reduction for Fast Private Inference Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
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Spotlight
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Thu 7:45 |
Label-Only Membership Inference Attacks Christopher Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot |
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Poster
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Thu 9:00 |
DeepReDuce: ReLU Reduction for Fast Private Inference Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
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Poster
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Thu 9:00 |
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang, Shusen Wang |
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Poster
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Thu 9:00 |
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan, Jinwoo Shin, Sung Ju Hwang |
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Poster
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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 |
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Poster
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Thu 9:00 |
Differentially Private Correlation Clustering Mark Bun, Marek Elias, Janardhan Kulkarni |
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Poster
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Thu 9:00 |
Differentially Private Query Release Through Adaptive Projection Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva |
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Poster
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Thu 9:00 |
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data Deepesh Data, Suhas Diggavi |
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Poster
|
Thu 9:00 |
Markpainting: Adversarial Machine Learning meets Inpainting David G Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross Anderson |
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Poster
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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 |
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Poster
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Thu 9:00 |
Privacy-Preserving Video Classification with Convolutional Neural Networks Sikha Pentyala, Rafael Dowsley, Martine De Cock |
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Poster
|
Thu 9:00 |
PAPRIKA: Private Online False Discovery Rate Control Wanrong Zhang, Gautam Kamath, Rachel Cummings |
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|
Poster
|
Thu 9:00 |
Differentially Private Quantiles Jennifer Gillenwater, Matthew Joseph, Alex Kulesza |
|
|
Poster
|
Thu 9:00 |
Differentially-Private Clustering of Easy Instances Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia |
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|
Poster
|
Thu 9:00 |
Label-Only Membership Inference Attacks Christopher Choquette-Choo, Florian Tramer, Nicholas Carlini, Nicolas Papernot |
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Poster
|
Thu 9:00 |
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting Harsha Nori, Rich Caruana, Woody Bu, Judy Hanwen Shen, Janardhan Kulkarni |
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Poster
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Thu 9:00 |
Locally Private k-Means in One Round Alisa Chang, Badih Ghazi, Ravi Kumar, Pasin Manurangsi |
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Poster
|
Thu 9:00 |
Enhancing Robustness of Neural Networks through Fourier Stabilization Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik |
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Poster
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Thu 9:00 |
Adversarial Policy Learning in Two-player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing |
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Oral
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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 |
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Spotlight
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Thu 17:20 |
Provable Lipschitz Certification for Generative Models Matt Jordan, Alex Dimakis |
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Spotlight
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Thu 17:25 |
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou, Lei Jiang |
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Spotlight
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Thu 17:35 |
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman, Kunal Talwar |
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Spotlight
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Thu 17:40 |
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li |
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Spotlight
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Thu 17:45 |
Grey-box Extraction of Natural Language Models Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, Boris Köpf |
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Oral
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Thu 18:00 |
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
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Oral
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Thu 18:00 |
Label Inference Attacks from Log-loss Scores Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Seyi Feyisetan, Nathanael Teissier |
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Spotlight
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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 |
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Spotlight
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Thu 18:25 |
Watermarking Deep Neural Networks with Greedy Residuals Hanwen Liu, Zhenyu Weng, Yuesheng Zhu |
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Spotlight
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Thu 18:30 |
Differentially Private Bayesian Inference for Generalized Linear Models Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela |
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Spotlight
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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 |
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Spotlight
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Thu 18:35 |
Leveraging Public Data for Practical Private Query Release Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Steven Wu |
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Spotlight
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Thu 18:40 |
Private Adaptive Gradient Methods for Convex Optimization Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar |
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Spotlight
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Thu 18:40 |
When Does Data Augmentation Help With Membership Inference Attacks? Yigitcan Kaya, Tudor Dumitras |
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Spotlight
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Thu 18:45 |
Oneshot Differentially Private Top-k Selection Gang Qiao, Weijie Su, Li Zhang |
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Oral
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Thu 19:00 |
Differentially Private Sliced Wasserstein Distance alain rakotomamonjy, Ralaivola Liva |
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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 |
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Spotlight
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Thu 19:20 |
Differentially Private Densest Subgraph Detection Dung Nguyen, Anil Vullikanti |
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Spotlight
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Thu 19:25 |
Machine Unlearning for Random Forests Jonathan Brophy, Daniel Lowd |
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Spotlight
|
Thu 19:30 |
A Framework for Private Matrix Analysis in Sliding Window Model Jalaj Upadhyay, Sarvagya Upadhyay |
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Spotlight
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Thu 19:35 |
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz, Ziyu Liu, Thomas Steinke |
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Spotlight
|
Thu 19:40 |
Privacy-Preserving Feature Selection with Secure Multiparty Computation Xiling Li, Rafael Dowsley, Martine De Cock |
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Poster
|
Thu 21:00 |
Privacy-Preserving Feature Selection with Secure Multiparty Computation Xiling Li, Rafael Dowsley, Martine De Cock |
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Poster
|
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
|
Thu 21:00 |
When Does Data Augmentation Help With Membership Inference Attacks? Yigitcan Kaya, Tudor Dumitras |
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|
Poster
|
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
|
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
|
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 |
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Poster
|
Thu 21:00 |
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li |
|
|
Poster
|
Thu 21:00 |
Provable Lipschitz Certification for Generative Models Matt Jordan, Alex Dimakis |
|
|
Poster
|
Thu 21:00 |
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou, Lei Jiang |
|
|
Poster
|
Thu 21:00 |
A Framework for Private Matrix Analysis in Sliding Window Model Jalaj Upadhyay, Sarvagya Upadhyay |
|
|
Poster
|
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 |
|
|
Poster
|
Thu 21:00 |
Machine Unlearning for Random Forests Jonathan Brophy, Daniel Lowd |
|
|
Poster
|
Thu 21:00 |
Watermarking Deep Neural Networks with Greedy Residuals Hanwen Liu, Zhenyu Weng, Yuesheng Zhu |
|
|
Poster
|
Thu 21:00 |
Grey-box Extraction of Natural Language Models Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, Boris Köpf |
|
|
Poster
|
Thu 21:00 |
Differentially Private Densest Subgraph Detection Dung Nguyen, Anil Vullikanti |
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|
Poster
|
Thu 21:00 |
Differentially Private Sliced Wasserstein Distance alain rakotomamonjy, Ralaivola Liva |
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|
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 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 |
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
|
|
Poster
|
Thu 21:00 |
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman, Kunal Talwar |
|
|
Poster
|
Thu 21:00 |
Label Inference Attacks from Log-loss Scores Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu, Seyi Feyisetan, Nathanael Teissier |
|
|
Poster
|
Thu 21:00 |
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz, Ziyu Liu, Thomas Steinke |
|
|
Poster
|
Thu 21:00 |
Oneshot Differentially Private Top-k Selection Gang Qiao, Weijie Su, Li Zhang |