1,721,055 research outputs found
Overdrive2k: Efficient Secure MPC over from Somewhat Homomorphic Encryption
No full textsponsorship: We thank Cyprien Delpech de Saint Guilhem for many helpful discussions. This work has been supported in part by ERC Advanced Grant ERC-2015-AdG-IMPaCT, by the Defense Advanced Research Projects Agency (DARPA) and Space and Naval Warfare Systems Center, Pacific (SSC Pacific) under contract No. N66001-15-C-4070, and by the FWO under an Odysseus project GOH9718N. (ERC Advanced Grant ERC-2015-AdG-IMPaCT, Defense Advanced Research Projects Agency (DARPA), Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|N66001-15-C-4070, FWO|GOH9718N)status: Publishe
Multi-party computation mechanism for anonymous equity block trading:A secure implementation of turquoise plato uncross
Full text linkDark pools are financial trading venues where orders are entered and matched in secret so that no order information is leaked. By preventing information leakage, dark pools offer the opportunity for large volume block traders to avoid the costly effects of market impact. However, dark pool operators have been known to abuse their privileged access to order information. To address this issue, we introduce a provably secure multi-party computation mechanism that prevents an operator from accessing and misusing order information. Specifically, we implement a secure emulation of Turquoise Plato Uncross, Europe’s largest dark pool trading mechanism, and demonstrate that it can handle real world trading throughput, with guaranteed information integrity
Feta: Efficient Threshold Designated-Verifier Zero-Knowledge Proofs
No full textsponsorship: We thank Pratik Sarkar for identifying a bug in an earlier version. This work has been supported in part by ERC Advanced Grant ERC-2015-AdG-IMPaCT, by the Defense Advanced Research Projects Agency (DARPA) under contract HR001120C0085, by the FWO under an Odysseus project GOH9718N, by CyberSecurity Research Flanders with reference number VR20192203, by the Aarhus University Research Foundation, and by the Independent Research Fund Denmark under project number 0165-00107B. (ERC Advanced Grant ERC-2015-AdG-IMPaCT, Defense Advanced Research Projects Agency (DARPA)|HR001120C0085, FWO|GOH9718N, CyberSecurity Research Flanders|VR20192203, Aarhus University Research Foundation, Independent Research Fund Denmark|0165-00107B)status: Published onlin
Zaphod: Efficiently Combining LSSS and Garbled Circuits in SCALE
Full text linksponsorship: This work has been supported in part by an ERC Advanced Grant ERC-2015-AdG-IMPaCT, by the Defense Advanced Research Projects Agency (DARPA) and Space and Naval Warfare Systems Center, Pacific (SSC Pacific) under contract No. N66001-15-C-4070 and No. FA8750-19-C-0502, by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA) via Contract No. 2019-1902070006, and by the FWO under Odysseus project GOH9718N. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the any of the funders. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. (ERC Advanced Grant ERC-2015-AdG-IMPaCT, Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|N66001-15-C-4070, Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|FA8750-19-C-0502, Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA)|2019-1902070006, FWO under Odysseus project|GOH9718N, Defense Advanced Research Projects Agency (DARPA)|N66001-15-C-4070, Defense Advanced Research Projects Agency (DARPA)|FA8750-19-C-0502)status: Publishe
Gladius: LWR based efficient hybrid public key encryption with distributed decryption
Full text linkISSN:0302-9743ISSN:1611-3349ISSN:1611-334
Large Scale, Actively Secure Computation from LPN and Free-XOR Garbled Circuits
No full textsponsorship: This work has been supported in part by ERC Advanced Grant ERC-2015-AdG-IMPaCT, by the Defense Advanced Research Projects Agency (DARPA) and Space and Naval Warfare Systems Center, Pacific (SSC Pacific) under contract No. N66001-15-C-4070, FA8750-19-C-0502 and HR001120C0085, by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA) via Contract No. 2019-1902070006, by the FWO under an Odysseus project GOH9718N, and by CyberSecurity Research Flanders with reference number VR20192203. Eduardo Soria-Vazquez was supported by the Carlsberg Foundation under the Semper Ardens Research Project CF18-112 (BCM). Aner BenEfraim and Eran Omri were supported by ISF grant 152/17, and by the Ariel Cyber Innovation Center in conjunction with the Israel National Cyber directorate in the Prime Minister's Office. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of any of the funders. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. (ERC, Defense Advanced Research Projects Agency (DARPA), Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|N66001-15-C-4070, Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|FA8750-19-C-0502, Space and Naval Warfare Systems Center, Pacific (SSC Pacific)|HR001120C0085, Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA)|2019-1902070006, FWO under an Odysseus project|GOH9718N, CyberSecurity Research Flanders|VR20192203, Carlsberg Foundation under the Semper Ardens Research Project|CF18-112, ISF grant|152/17, Ariel Cyber Innovation Center, Israel National Cyber directorate in the Prime Minister's Office)status: Publishe
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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