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Analysing Privacy Analyses.

, , and . ITASEC, volume 1816 of CEUR Workshop Proceedings, page 19-28. CEUR-WS.org, (2017)

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Random Block Verification: Improving the Norwegian Electoral Mix-Net., , and . Electronic Voting, volume P-205 of LNI, page 65-78. GI, (2012)File Fragmentation in the Wild: a Privacy-Friendly Approach., , , , , and . WIFS, page 1-6. IEEE, (2019)Reverse Bayesian Poisoning: How to Use Spam Filters to Manipulate Online Elections., , and . E-VOTE-ID, volume 10615 of Lecture Notes in Computer Science, page 183-197. Springer, (2017)Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts., , and . RAID, page 115-128. ACM, (2022)Analysing Privacy Analyses., , and . ITASEC, volume 1816 of CEUR Workshop Proceedings, page 19-28. CEUR-WS.org, (2017)ÆGIS: Shielding Vulnerable Smart Contracts Against Attacks., , , , , and . AsiaCCS, page 584-597. ACM, (2020)Man-in-the-Middle Attacks Evolved... but Our Security Models Didn't (Transcript of Discussion).. Security Protocols Workshop, volume 10368 of Lecture Notes in Computer Science, page 26-34. Springer, (2016)Anonymity in Voting Revisited., and . Towards Trustworthy Elections, volume 6000 of Lecture Notes in Computer Science, page 216-230. Springer, (2010)A Security Perspective on Publication Metrics (Transcript of Discussion).. Security Protocols Workshop, volume 10476 of Lecture Notes in Computer Science, page 201-213. Springer, (2017)ÆGIS: Smart Shielding of Smart Contracts., , , and . CCS, page 2589-2591. ACM, (2019)