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ORCIDTransactions on Data Privacy, Volume 11
Volume 11, Number 1, April 2018
- Kiran Baktha, B. K. Tripathy:
Alpha Anonymization in Social Networks using the Lossy-Join Approach. 1-22 - Yan-Xia Lin, Luke Mazur, Rathindra Sarathy, Krishnamurty Muralidhar:
Statistical Information Recovery from Multivariate Noise-Multiplied Data, a Computational Approach. 23-45 - Jun Sakuma, Tatsuya Osame:
Recommendation with k-Anonymized Ratings. 47-60 - Md. Atiqur Rahman, Tanzila Rahman, Robert Laganière, Noman Mohammed:
Membership Inference Attack against Differentially Private Deep Learning Model. 61-79
Volume 11, Number 2, August 2018
- Alexander Degitz, Hannes Hartenstein:
PATCONFDB: Design and Evaluation of Access Pattern Confidentiality-Preserving Indexes. 81-109 - Julien Bringer, Hervé Chabanne, Daniel Le Métayer, Roch Lescuyer:
Biometric Systems Private by Design: Reasoning about privacy properties of biometric system architectures. 111-137 - Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara:
PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems. 139-167 - Sjouke Mauw, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua:
Anonymising social graphs in the presence of active attackers. 169-198
Volume 11, Number 3, December 2018
- Celina Rebello, Elaine Tavares:
Big Data Privacy Context: Literature Effects On Secure Informational Assets. 199-217 - Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa:
Personalized Anonymization for Set-Valued Data by Partial Suppression. 219-237 - Sergio Mascetti, Nadia Metoui, Andrea Lanzi, Claudio Bettini:
EPIC: a Methodology for Evaluating Privacy Violation Risk in Cybersecurity Systems. 239-277 - Haoyang Yu, Jerome P. Reiter:
Differentially Private Verification of Regression Predictions from Synthetic Data. 279-297
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