Fulltexts - MADOC

Faculties and Departments (8688)
- School of Business Informatics and Mathematics (1243)
  - Practical Computer Science IV: Dependable Systems Engineering (Armknecht 2015-) (10)

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Wiesberg, Angela (2018) Machine learning on encrypted data.

Mannheim [Doctoral dissertation]

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Banik, Subhadeep ; Mikhalev, Vasily ; Armknecht, Frederik

; Isobe, Takanori ; Meier, Willi ; Bogdanov, Andrey ; Watanabe, Yuhei ; Regazzoni, Francesco (2018) Towards low energy stream ciphers.

IACR Transactions on Symmetric Cryptology Bochum 2018 2 1-19 [Article]

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Wiesberg, Angela ; Armknecht, Frederik

(2018) Unsupervised machine learning on encrypted data.

Cryptology ePrint Archive Santa Barbara, CA Report 2018/411 [Working paper]

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Armknecht, Frederik

; Verbauwhede, Ingrid ; Volkamer, Melanie ; Yung, Moti Executive summary : General introduction.

Armknecht, Frederik

; Verbauwhede, Ingrid ; Volkamer, Melanie ; Yung, Moti Dagstuhl Reports 9,11 1-3 In: Biggest failures in security : Report from Dagstuhl Seminar 19451 (2020) Wadern Dagstuhl Seminar 19451 (Wadern, Germany) [Conference or workshop publication]

Armknecht, Frederik

; Verbauwhede, Ingrid ; Volkamer, Melanie ; Yung, Moti (2020) Biggest failures in security : Report from Dagstuhl Seminar 19451.

Dagstuhl Reports Wadern 9,11 [Book]

Freiling, Felix ; Armknecht, Frederik

Attacker models and assumption coverage.

Armknecht, Frederik

; Verbauwhede, Ingrid ; Volkamer, Melanie ; Yung, Moti Dagstuhl Reports 9,11 10-11 In: Biggest failures in security : Report from Dagstuhl Seminar 19451 (2020) Wadern Dagstuhl Seminar 19451 (Wadern, Germany) [Conference or workshop publication]

Mikhalev, Vasily ; Armknecht, Frederik

; Müller, Christian (2016) On ciphers that continuously access the non-volatile key.

IACR Transactions on Symmetric Cryptology Bochum 2016 2 52-79 [Article]

Tajan, Louis (2020) Privacy-preserving data processing for real use cases.

Mannheim [Doctoral dissertation]

Armknecht, Frederik

; Heng, Youzhe ; Schnell, Rainer Strengthening privacy-preserving record linkage using diffusion.

Proceedings on Privacy Enhancing Technologies : PoPETs 2023 2 298-311 (2023) Warsaw, Poland 23rd Privacy Enhancing Technologies Symposium (Lausanne, Switzerland, Hybrid) [Conference or workshop publication]

Schäfer, Jochen ; Müller, Christian ; Armknecht, Frederik

If you like me, please don’t “like” me: inferring vendor Bitcoin addresses from positive reviews.

Proceedings on Privacy Enhancing Technologies : PoPETs 2022 1 440-459 (2022) Warsaw, Poland 22nd Privacy Enhancing Technologies Symposium (Sydney, Australia, Hybrid) [Conference or workshop publication]

This list was created automatically on Sun Jan 19 07:58:56 2025 CET

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