Thorsten Strufe

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KIT ∙ TU Dresden

SoK on Performance Bounds in Anonymous Communication

Communicating anonymously comes at a cost - and large communities have b...
11/17/2020 ∙ by Christiane Kuhn, et al. ∙ 0 ∙ share

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Covid Notions: Towards Formal Definitions – and Documented Understanding – of Privacy Goals and Claimed Protection in Proximity-Tracing Services

The recent SARS-CoV-2 pandemic gave rise to management approaches using ...
04/16/2020 ∙ by Christiane Kuhn, et al. ∙ 0 ∙ share

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Efficient Cloud-based Secret Shuffling via Homomorphic Encryption

When working with joint collections of confidential data from multiple s...
02/12/2020 ∙ by Kilian Becher, et al. ∙ 0 ∙ share

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Breaking and (Partially) Fixing Provably Secure Onion Routing

After several years of research on onion routing, Camenisch and Lysyansk...
10/30/2019 ∙ by Christiane Kuhn, et al. ∙ 0 ∙ share

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RecordFlux: Formal Message Specification and Generation of Verifiable Binary Parsers

Various vulnerabilities have been found in message parsers of protocol i...
10/02/2019 ∙ by Tobias Reiher, et al. ∙ 0 ∙ share

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On the Limits of Byzantine-tolerant Spanning Tree Construction in Route-Restricted Overlay Networks

Route-restricted overlays are peer-to-peer networks where each node can ...
01/09/2019 ∙ by Martin Byrenheid, et al. ∙ 0 ∙ share

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On Privacy Notions in Anonymous Communication

Many anonymous communication networks (ACNs) with different privacy goal...
12/13/2018 ∙ by Christiane Kuhn, et al. ∙ 0 ∙ share

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On Privacy Notion in Anonymous Communication

Many anonymous communication networks (ACNs) with different privacy goal...
12/13/2018 ∙ by Christiane Kuhn, et al. ∙ 0 ∙ share

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An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version)

Benchmarking is an important measure for companies to investigate their ...
10/11/2018 ∙ by Kilian Becher, et al. ∙ 0 ∙ share

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Approximate Distributed Joins in Apache Spark

The join operation is a fundamental building block of parallel data proc...
05/15/2018 ∙ by Do Le Quoc, et al. ∙ 0 ∙ share

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Infinite Mixture Model of Markov Chains

We propose a Bayesian nonparametric mixture model for prediction- and in...
06/19/2017 ∙ by Jan Reubold, et al. ∙ 0 ∙ share

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Thorsten Strufe

Featured Co-authors

Christof Fetzer

Eduard Jorswieck

Jeronimo Castrillon

Do Le Quoc

Pramod Bhatotia

Martin Beck

Christiane Kuhn

Ulf Brefeld

Stefanie Roos

Spyros Blanas

Tobias Reiher

SoK on Performance Bounds in Anonymous Communication

Covid Notions: Towards Formal Definitions – and Documented Understanding – of Privacy Goals and Claimed Protection in Proximity-Tracing Services

Efficient Cloud-based Secret Shuffling via Homomorphic Encryption

Breaking and (Partially) Fixing Provably Secure Onion Routing

RecordFlux: Formal Message Specification and Generation of Verifiable Binary Parsers

On the Limits of Byzantine-tolerant Spanning Tree Construction in Route-Restricted Overlay Networks

On Privacy Notions in Anonymous Communication

On Privacy Notion in Anonymous Communication

An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking (Long Version)

Approximate Distributed Joins in Apache Spark

Infinite Mixture Model of Markov Chains