Rafael Dowsley
Scholar

Rafael Dowsley

Google Scholar ID: 6NdIS2AAAAAJ
Monash University
CryptographyPrivacyInformation Theory
Citations & Impact
All-time
Citations
1,639
 
H-index
23
 
i10-index
34
 
Publications
20
 
Co-authors
69
list available
Contact
Resume (English only)
Academic Achievements
  • Published 'MUSEN: Aggregatable Key-Evolving Verifiable Random Functions and Applications' at SCN 2024
  • Published 'SePEnTra: A Secure and Privacy-Preserving Energy Trading Mechanism in the Transactive Energy Market' at ProvSec 2024
  • Published 'An End-to-End Framework for Private DGA Detection as a Service' in PLOS One, 2024
  • Published 'CRAFT: Composable Randomness Beacons and Output-Independent Abort MPC From Time' at PKC 2023
  • Published survey 'A Survey on Exotic Signatures for Post-Quantum Blockchain: Challenges and Research Directions' in ACM Computing Surveys, 2023
  • Published 'FDIAs on Hybrid Trading Transactive Energy Markets: Attacks, Impacts, and Prevention' at IEEE PES ISGT Europe 2023
  • Published 'A Decentralized Information Marketplace Preserving Input and Output Privacy' at ACM Data Economy Workshop 2023
  • Published 'Post-Quantum Verifiable Random Function from Symmetric Primitives in PoS Blockchain' at ESORICS 2022
  • Published 'Privacy-Preserving Training of Tree Ensembles over Continuous Data' at PETS 2022
  • Published 'Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation' in IEEE Transactions on Information Forensics and Security, 2022
  • Published 'Range Search on Encrypted Spatial Data with Dynamic Updates' in Journal of Computer Security, 2022
  • Published '(Public) Verifiability For Composable Protocols Without Adaptivity Or Zero-Knowledge' at ProvSec 2022
  • Published 'A Spendable Cold Wallet from QR Video' at SECRYPT 2022
  • Published 'TARDIS: A Foundation of Time-Lock Puzzles in UC' at EUROCRYPT 2021
  • Published two papers at ICML 2021: 'Privacy-Preserving Video Classification with Convolutional Neural Networks' and 'Privacy-Preserving Feature Selection with Secure Multiparty Computation'
  • Published 'Geo-DRS: Geometric Dynamic Range Search on Spatial Data with Backward and Content Privacy' at ESORICS 2021; invited to best papers special journal issue
  • Published 'High Performance Logistic Regression for Privacy-Preserving Genome Analysis' in BMC Medical Genomics, 2021
  • Winner of the iDASH Secure Genome Analysis Competition 2019