We present unified combinatorial characterizations of completeness for 2-party secure function evaluation (SFE) against passive and active corruptions in the information-theoretic setting, so that all known characterizations appear as special cases. In doing so we develop new technical concepts. We define several notions of isomorphism of SFE functionalities and define the “kernel” of an SFE fu...

We introduce the notion of rate-limited secure function evaluation (RL-SFE). Loosely speaking, in an RL-SFE protocol participants can monitor and limit the number of distinct inputs (i.e., rate) used by their counterparts in multiple executions of an SFE, in a private and verifiable manner. The need for RL-SFE naturally arises in a variety of scenarios: e.g., it enables service providers to “me...

Two-party Secure Function Evaluation (SFE) is a very useful cryptographic tool which allows two parties to evaluate a function known to both parties on their private (secret) inputs. Some applications with sophisticated privacy needs require the function to be known only to one party and kept private (hidden) from the other one. However, existing solutions for SFE of private functions (PF-SFE) ...

This thesis focuses on the practical aspects of general two-party Secure Function Evaluation (SFE). A new SFE protocol that allows free evaluation of XOR gates and is provably secure against semi-honest adversaries in the random oracle model is given. Furthermore, the extension of SFE to private functions (PF-SFE) using universal circuits is considered. Based on a new practical universal circui...

Respiratory inductance plethysmographic (RIP) and pneumotachographic (Pn) flows were compared dynamically in horses with bronchoconstriction. On a breath-by-breath basis, RIP was normalized to inspiratory volume from Pn, and peak [peak of subtracted final exhalation waveform (SFE(max))] and selected area [integral of subtracted final waveform during first 25% of exhaled volume (SFE(int))] diffe...

We introduce the notion of rate-limited secure function evaluation (RL-SFE). Loosely speaking, in an RL-SFE protocol participants can monitor and limit the number of distinct inputs (i.e., rate) used by their counterparts in multiple executions of an SFE, in a private and verifiable manner. The need for RL-SFE naturally arises in a variety of scenarios: e.g., it enables service providers to " m...

General two-party Secure Function Evaluation (SFE) allows mutually distrusting parties to correctly compute any function on their private input data, without revealing the inputs. Two-party SFE can benefit almost any client-server interaction where privacy is required, such as privacypreserving credit checking, medical classification, or face recognition. Today, SFE is a subject of immense amou...

Supercritical fluid extraction (SFE) of plant material with solvents like CO₂, propane, butane, or ethylene is a topic of growing interest. SFE allows the processing of plant material at low temperatures, hence limiting thermal degradation, and avoids the use of toxic solvents. Although today SFE is mainly used for decaffeination of coffee and tea as well as production of hop extracts on a larg...

General two-party Secure Function Evaluation (SFE) allows mutually distrusting parties to (jointly) correctly compute any function on their private input data, without revealing the inputs. SFE, properly designed, guarantees to satisfy the most stringent security requirements, even for interactive computation. Two-party SFE can benefit almost any client-server interaction where privacy is requi...

We investigate potential turbo equalization (TE) schemes for high density advanced magnetic recording systems. Compared to conventional TE schemes based on partial response maximum likelihood (PRML) detection, filtering based TE schemes are attractive due to their low computational complexity. In this paper, we focus on soft feedback equalization (SFE) [1]. We modify the generic SFE to deal wit...