What is he best known for?
The fields of study he is best known for:
- Operating system
- Internal medicine
- Algorithm
Thomas Schneider spends much of his time researching Secure multi-party computation, Theoretical computer science, Secure two-party computation, Encryption and Cryptography.
His Secure multi-party computation research is multidisciplinary, relying on both Block size, Block cipher and Cipher.
Thomas Schneider interconnects Overhead, Permutation, Integer, Arithmetic and Intersection in the investigation of issues within Theoretical computer science.
His study in Secure two-party computation is interdisciplinary in nature, drawing from both Symmetric-key algorithm, Distributed computing and Oblivious transfer.
The Homomorphic encryption research Thomas Schneider does as part of his general Encryption study is frequently linked to other disciplines of science, such as Gigabit Ethernet, therefore creating a link between diverse domains of science.
Cryptography is a subfield of Computer security that he investigates.
His most cited work include:
- Secure Two-Party Computation Is Practical (626 citations)
- Improved Garbled Circuit: Free XOR Gates and Applications (531 citations)
- TASTY: tool for automating secure two-party computations (336 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Secure multi-party computation, Theoretical computer science, Cryptography, Protocol and Computation.
His Secure multi-party computation research is multidisciplinary, incorporating perspectives in Homomorphic encryption and Distributed computing.
His Distributed computing research is multidisciplinary, relying on both Compiler and Cloud computing.
While the research belongs to areas of Theoretical computer science, he spends his time largely on the problem of Oblivious transfer, intersecting his research to questions surrounding Random oracle and Hash function.
His Cryptography study frequently links to other fields, such as Encryption.
Thomas Schneider specializes in Protocol, namely Secure two-party computation.
He most often published in these fields:
- Secure multi-party computation (20.68%)
- Theoretical computer science (15.79%)
- Cryptography (14.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Secure multi-party computation (20.68%)
- Protocol (13.16%)
- Cryptography (14.66%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Secure multi-party computation, Protocol, Cryptography, Manufacturing engineering and Inference.
His Secure multi-party computation study integrates concerns from other disciplines, such as Homomorphic encryption, Encryption, Backdoor and Word.
The concepts of his Protocol study are interwoven with issues in Computation, Edit distance and Information retrieval.
Thomas Schneider studies Computation, focusing on Secure two-party computation in particular.
His Cryptography research integrates issues from Computer network, Probabilistic logic and Theoretical computer science.
His Theoretical computer science research includes elements of Block and Private set intersection.
Between 2018 and 2021, his most popular works were:
- Preserving privacy in speaker and speech characterisation (27 citations)
- Efficient Circuit-Based PSI with Linear Communication (17 citations)
- SoK: Modular and Efficient Private Decision Tree Evaluation (16 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Internal medicine
- Algorithm
His primary scientific interests are in Secure multi-party computation, Protocol, Cryptography, Computer network and Computation.
His Secure multi-party computation research incorporates themes from Adversary, Backdoor and Private set intersection.
Particularly relevant to Secure two-party computation is his body of work in Protocol.
His work deals with themes such as Arithmetic circuits, Oblivious transfer and Parallel computing, which intersect with Secure two-party computation.
His biological study spans a wide range of topics, including Probabilistic logic, Encryption and Biometrics.
His studies in Computation integrate themes in fields like Homomorphic encryption and Multiplication.
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