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Vehicular Ad-hoc Networks (VANETs) are a cardinal part of intelligent transportation system (ITS) which render various services in terms of traffic and transport management. The VANET is used to manag...
Two of the most sought-after properties of Multi-party Computation (MPC) protocols are fairness and guaranteed output delivery (GOD), the latter also referred to as robustness. Achieving both, however...
Secure Multi-Party Computation (MPC) enables a group of nn distrusting parties to jointly compute a function using private inputs. MPC guarantees correctness of computation and confidentiality of inpu...
Classification of personal text messages has many useful applications in surveillance, e-commerce, and mental health care, to name a few. Giving applications access to personal texts can easily lead t...
Secure multi-party computation permits evaluation of any desired functionality on private data without disclosing the data to the participants and is gaining its popularity due to increasing collectio...
Private Simultaneous Messages (PSM) is a minimal model for information-theoretic non-interactive multi-party computation. In the 2-party case, Beimel et al. showed every function f:[N]×[N]→{0,1}f:[N]×...
Smart contracts are self-executing agreements written in program code and are envisioned to be one of the main applications of blockchain technology. While they are supported by prominent cryptocurren...
Secure Multi-party Computation (MPC) is one of the most influential achievements of modern cryptography: it allows evaluation of an arbitrary function on private inputs from multiple parties without r...
Oblivious linear evaluation (OLE) is a two party protocol that allows a receiver to compute an evaluation of a sender's private, degree 11 polynomial, without letting the sender learn the evaluation p...
In this work, we study the problem of constructing oblivious RAM for secure multi-party computation to obliviously access memory at private locations during secure computation. We build on recent two-...
In a poisoning attack against a learning algorithm, an adversary tampers with a fraction of the training data T with the goal of increasing the classification error of the constructed hypothesis/model...
Coin toss has been extensively studied in the cryptography literature, and the well-accepted notion of fairness (henceforth called strong fairness) requires that a corrupt coalition cannot cause non-n...
Currently, round complexity and communication complexity are two fundamental issues of secure multi-party computation (MPC) since all known schemes require communication for each multiplication operat...
The motivation for this work comes from the need to strengthen security of secure multi-party protocols with the ability to guarantee that the participants provide their truthful inputs in the computa...
In cloud computing, delegated computing raises the security issue of guaranteeing data authenticity during a remote computation. Existing solutions do not simultaneously provide fast correctness verif...

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