Search Results - rafail+ostrovsky

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Asymmetric Multi-Party Computation (Case No. 2023-177)
Summary UCLA researchers and co-inventors have developed a method and system for multi-party computation (MPC) that enables multiple parties to jointly compute a function over their inputs while keeping those inputs private. The scheme aims to improve efficiency, reduce interaction or rounds of communication, and support public verification or stronger...
Published: 9/11/2025   |   Inventor(s): Rafail Ostrovsky, Vipul Goyal, Chen-Da Liu Zhang
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Communication & Networking
2015-188 PROVABLY SECURE VIRUS DETECTION
Provably Secure Virus DetectionSUMMARYProfessor Rafail Ostrovsky in the Department of Computer Science, in collaboration with researchers at Georgia Institute of Technology, has developed a provably secure defense against software viruses that can be deployed on computers without any additional hardware requirements.BACKGROUNDWith the continued global...
Published: 7/17/2025   |   Inventor(s): Richard Lipton, Rafail Ostrovsky, Vassilis Zikas
Keywords(s): Computer Security, Software & Algorithms
Category(s): Software & Algorithms
2013-367 METHOD AND SYSTEM FOR PICK-AND-DROP SAMPLING FROM LARGE DATASET
Method and System for Pick-And-Drop Sampling from Large DatasetSUMMARYUCLA researchers in the Department of Computer Science have developed a new algorithm that approximates large frequency moments in big datasets with pick-and-drop sampling for analysis.BACKGROUNDWith increasing data volume, the ability to analyze the data becomes challenging. In some...
Published: 7/17/2025   |   Inventor(s): Rafail Ostrovsky, Vladimir Braverman
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Data Analytics
Efficient Translation From Edit Distance To Hamming Distance, Allowing Faster And More Precise Analysis, Search And Indexing Of Data
Efficient Translation from Edit Distance to Hamming Distance, Allowing Faster and More Precise Analysis, Search and Indexing of DataUC Case No. 2005-431 SUMMARY:UCLA researchers have developed a new approach to more efficiently search and compare strings that approximately match, thus allowing for much more efficient search for applications.BACKGROUND:Many...
Published: 7/17/2025   |   Inventor(s): Rafail Ostrovsky, Yuval Rabani
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Bioinformatics, Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Bioinformatics, Software & Algorithms > Artificial Intelligence & Machine Learning