SU\G(𝔸)/K·U

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All published works (9)

Action Title Date Authors
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Improving Algorithmic Efficiency using Cryptography 2025-02-18 Vinod Vaikuntanathan Or Zamir
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Quantum Codes with Addressable and Transversal Non-Clifford Gates 2025-02-03 Zhiyang He Vinod Vaikuntanathan Adam Wills Rachel Zhang
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Quantum One-Time Programs, Revisited 2024-11-04 Aparna Gupte Jiahui Liu Justin Raizes Bhaskar Roberts Vinod Vaikuntanathan
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How to Construct Quantum FHE, Generically 2024-06-05 Aparna Gupte Vinod Vaikuntanathan
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PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels 2023-01-01 Homa Esfahanizadeh Adam Yala Rafael G. L. D’Oliveira Andrea J. D. Jaba Victor Quach Ken R. Duffy Tommi Jaakkola Vinod Vaikuntanathan Manya Ghobadi Regina Barzilay
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Planting Undetectable Backdoors in Machine Learning Models 2022-01-01 Shafi Goldwasser Michael P. Kim Vinod Vaikuntanathan Or Zamir
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The Fine-Grained Hardness of Sparse Linear Regression. 2021-06-06 Aparna Gupte Vinod Vaikuntanathan
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NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training 2021-06-04 Adam Yala Homa Esfahanizadeh Rafael G. L. D' Oliveira Ken R. Duffy Manya Ghobadi Tommi Jaakkola Vinod Vaikuntanathan Regina Barzilay Muriel MĂ©dard
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NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training 2021-01-01 Adam Yala Homa Esfahanizadeh Rafael G. L. D' Oliveira Ken R. Duffy Manya Ghobadi Tommi Jaakkola Vinod Vaikuntanathan Regina Barzilay Muriel MĂ©dard

Common Coauthors

Coauthor Papers Together
Regina Barzilay 3
Homa Esfahanizadeh 3
Aparna Gupte 3
Ken R. Duffy 3
Tommi Jaakkola 3
Manya Ghobadi 3
Muriel MĂ©dard 3
Adam Yala 3
Or Zamir 2
Rafael G. L. D' Oliveira 2
Justin Raizes 1
Bhaskar Roberts 1
Shafi Goldwasser 1
Zhiyang He 1
Victor Quach 1
Rafael G. L. D’Oliveira 1
Jiahui Liu 1
Michael P. Kim 1
Andrea J. D. Jaba 1
Rachel Zhang 1
Adam Wills 1

Commonly Cited References

Action Title Date Authors # of times referenced
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Solving the Closest Vector Problem in 2^n Time -- The Discrete Gaussian Strikes Again! 2015-10-01 Divesh Aggarwal Daniel Dadush Noah Stephens-Davidowitz 1
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Sparse Approximate Solutions to Linear Systems 1995-04-01 B. K. Natarajan 1
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Regression Shrinkage and Selection Via the Lasso 1996-01-01 Robert Tibshirani 1
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Approximate Sparse Linear Regression 2016-01-01 Sariel Har-Peled Piotr Indyk Sepideh Mahabadi 1
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On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks 2017-04-01 Artūrs Bačkurs Piotr Indyk Ludwig Schmidt 1
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Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms 2016-01-01 Artūrs Bačkurs Christos Tzamos 1
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On the Quantitative Hardness of CVP 2017-10-01 Huck Bennett Alexander Golovnev Noah Stephens-Davidowitz 1
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Fine-grained hardness of CVP(P)—Everything that we can prove (and nothing else) 2021-01-01 Divesh Aggarwal Huck Bennett Alexander Golovnev Noah Stephens-Davidowitz 1
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More consequences of falsifying SETH and the orthogonal vectors conjecture 2018-06-20 Amir Abboud Karl Bringmann Holger Dell Jesper Nederlof 1
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The Dantzig selector: Statistical estimation when p is much larger than n 2007-12-01 Emmanuel J. Candès Terence Tao 1