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Bounding Training Data Reconstruction in Private (Deep) Learning


Jan 28, 2022
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten


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A Systematic Study of Bias Amplification


Jan 27, 2022
Melissa Hall, Laurens van der Maaten, Laura Gustafson, Aaron Adcock


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Omnivore: A Single Model for Many Visual Modalities


Jan 20, 2022
Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra


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Revisiting Weakly Supervised Pre-Training of Visual Perception Models


Jan 20, 2022
Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross Girshick, Piotr Dollár, Laurens van der Maaten


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Submix: Practical Private Prediction for Large-Scale Language Models


Jan 04, 2022
Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo


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CrypTen: Secure Multi-Party Computation Meets Machine Learning


Sep 02, 2021
Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten


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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems


Mar 22, 2021
Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten


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Measuring Data Leakage in Machine-Learning Models with Fisher Information


Feb 23, 2021
Awni Hannun, Chuan Guo, Laurens van der Maaten


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Making Paper Reviewing Robust to Bid Manipulation Attacks


Feb 22, 2021
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger


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Physical Reasoning Using Dynamics-Aware Models


Feb 20, 2021
Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar


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