| 2021 | A Digital Twin-Based Cyber Range for SOC Analysts. Manfred Vielberth, Magdalena Glas, Marietheres Dietz, Stylianos Karagiannis, Emmanouil Magkos, Günther Pernul |
| 2021 | A Rewarding Framework for Crowdsourcing to Increase Privacy Awareness. Ioannis Chrysakis, Giorgos Flouris, Maria Makridaki, Theodore Patkos, Yannis Roussakis, Georgios Samaritakis, Nikoleta Tsampanaki, Elias Tzortzakakis, Elisjana Ymeralli, Tom Seymoens, Anastasia Dimou, Ruben Verborgh |
| 2021 | Access Control Policy Generation from User Stories Using Machine Learning. John Heaps, Ram Krishnan, Yufei Huang, Jianwei Niu, Ravi S. Sandhu |
| 2021 | An ABAC Model with Trust and Gossiping (ABAC-TG) for Online Social Networks. Adi Swissa, Ehud Gudes |
| 2021 | Automated Risk Assessment and What-if Analysis of OpenID Connect and OAuth 2.0 Deployments. Salimeh Dashti, Amir Sharif, Roberto Carbone, Silvio Ranise |
| 2021 | Comparing Local and Central Differential Privacy Using Membership Inference Attacks. Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum |
| 2021 | DPNeT: Differentially Private Network Traffic Synthesis with Generative Adversarial Networks. Liyue Fan, Akarsh Pokkunuru |
| 2021 | DUCE: Distributed Usage Control Enforcement for Private Data Sharing in Internet of Things. Na Shi, Bo Tang, Ravi S. Sandhu, Qi Li |
| 2021 | Data and Applications Security and Privacy XXXV - 35th Annual IFIP WG 11.3 Conference, DBSec 2021, Calgary, Canada, July 19-20, 2021, Proceedings Ken Barker, Kambiz Ghazinour |
| 2021 | Deep Learning for Detecting Network Attacks: An End-to-End Approach. Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu |
| 2021 | Distributed Query Evaluation over Encrypted Data. Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Giovanni Livraga, Stefano Paraboschi, Pierangela Samarati |
| 2021 | Divide-and-Learn: A Random Indexing Approach to Attribute Inference Attacks in Online Social Networks. Sanaz Eidizadehakhcheloo, Bizhan Alipour Pijani, Abdessamad Imine, Michaël Rusinowitch |
| 2021 | Encrypted-Input Obfuscation of Image Classifiers. Giovanni Di Crescenzo, Lisa Bahler, Brian A. Coan, Kurt Rohloff, David Bruce Cousins, Yuriy Polyakov |
| 2021 | Multi-party Private Set Operations with an External Decider. Sara Ramezanian, Tommi Meskanen, Valtteri Niemi |
| 2021 | Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets. Mina Alishahi, Nicola Zannone |
| 2021 | Nowhere to Leak: A Multi-client Forward and Backward Private Symmetric Searchable Encryption Scheme. Alexandros Bakas, Antonis Michalas |
| 2021 | On Feasibility of Attribute-Aware Relationship-Based Access Control Policy Mining. Shuvra Chakraborty, Ravi S. Sandhu |
| 2021 | PDF Malware Detection Using Visualization and Machine Learning. Ching-Yuan Liu, Min-Yi Chiu, Qi-Xian Huang, Hung-Min Sun |
| 2021 | Perun: Confidential Multi-stakeholder Machine Learning Framework with Hardware Acceleration Support. Wojciech Ozga, Do Le Quoc, Christof Fetzer |
| 2021 | Preserving Privacy of Co-occurring Keywords over Encrypted Data. D. V. N. Siva Kumar, P. Santhi Thilagam |
| 2021 | Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa |
| 2021 | Simple Storage-Saving Structure for Volume-Hiding Encrypted Multi-maps - (A Slot in Need is a Slot Indeed). Jiafan Wang, Sherman S. M. Chow |
| 2021 | The ${tkl}\hbox {-}\mathrm {Score}$ for Data-Sharing Misuseability. Kalvin Eng, Eleni Stroulia |
| 2021 | Verifiable Hierarchical Key Assignment Schemes. Anna Lisa Ferrara, Federica Paci, Chiara Ricciardi |