PPT-GPU and CPU Parallelization of Honest-but-Curious Secure Tw

Nathaniel Husted Steve Myers abhi shelat Paul Grubbs Alice and Bob want to compute a public function of their private inputs Secure Twoparty Computation Disease Database Alice. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. Juan A. Garay (AT&T), Jonathan Katz (UMD), . Ranjit Kumaresan (UMD). , Hong-Sheng Zhou (UMD). Talk Outline. Preliminaries . Broadcast. Simulation-based. . security. The . Hirt-Zikas. result [HZ10]. (. Lecture 3 & 4). Arpita. . Patra. Recap . >> Why secure computation?. >> What is secure (multi-party) computation (MPC)?. >> Secret Sharing and Secure sum protocol. >> OT and Secure multiplication protocol. Acts 6:3. Face of an angel. Acts 6:15. Recounts the History of Israel. Acts 7:1-36. The . F. irst Martyr. Acts 7:59. Primary 7: New Testament. Lesson 39 . “Stephen, the Martyr” . Acts 6-7. Sample Page. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. (for when semi-honest is only semi-good-enough). David Evans. University of Virginia. http://www.cs.virginia.edu/evans. http://www.MightBeEvil.com. DHOSA MURI Review. UVa. Falls Church. 8 December 2011. Project – CSE 5810 – Introduction to Biomedical Informatics. Krishna Kalaparti. Date: 04/20/2016. Agenda. Honest Brokers – Background. What is a Honest Broker?. What can a Honest Broker do?. 21 items in PHI which should be de-identified by the Honest Broker. ECE 751, Fall 2015. Peng . Liu. 1. Overview. What? JavaScript . Engine optimization. How? Light-weight . software speculation mechanism. 2. [1] Heine. , David, et al. Software and hardware for exploiting speculative parallelism with a multiprocessor. Computer Systems Laboratory, Stanford University, 1997. Ranjit . Kumaresan. (MIT). Based on joint works with . Iddo. . Bentov. (. Technion. ), Tal Moran (IDC), Guy . Zyskind. (MIT). x. f. . (. x,y. ). y. f. . (. x,y. ). Secure Computation. Most general problem in cryptography. Prediction markets & real-world data feeds. Assertions about the outside world . Idea. : add a mechanism to assert facts. election outcomes. sports results. commodity prices. Bet or hedge results using smart contracts. Payman. . Mohassel. Yahoo Labs. 1. Do We Have the Same Person. in Mind?. Alice. Bob. Jack. . Joe. o. nly reveal . Yes/No. Solutions?. You have access to a trusted computer. You can use an airline reservation service. Prediction markets & real-world data feeds. Assertions about the outside world . Idea. : add a mechanism to assert facts. election outcomes. sports results. commodity prices. Bet or hedge results using smart contracts. Fair Protocols. Iddo. . Bentov. (. Technion. ). . Ranjit Kumaresan (. Technion. ). ePrint. 2014/129. x. f. . (. x,y. ). y. f. . (. x,y. ). Secure Computation. Most general problem in cryptography. Arpita. . Patra. Recap . >> Scope of MPC . . . . > models of computation . . > network models . . > . modelling. distrust (centralized/decentralized adversary).