Our grant proposal, Evaluating Developers' Privacy Comprehension During Mobile Applications Development Process, got funded by Google’s privacy-related faculty award program.
Our paper, A Two-Fold Study to Investigate Users' Perception of IoT Information Sensitivity Levels and Their Willingness to Share the Information, got accepted at EISA'21.
Our paper, Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies, got accepted for presentation at the 3rd Annual Symposium on Applications of Contextual Integrity.
Our paper, Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies, got accepted for publication at ESPRE'21.
Dr. Ghanavati gave a talk at ACM-W Celebrating Technology Leaders: Women in Cybersecurity.
Our paper, PriGen: Towards Automated Translation of Android Applications' Code to Privacy Captions, got accepted at RCIS'21.
Our paper, PHIN: A Privacy Protected Heterogeneous IoT Network, got accepted at RCIS'21.
Our journal paper, RationalGRL: A Framework for Argumentation and Goal Modeling, has been accepted for publication in the Journal of Argument & Computation, 2020.
Dr. Ghanavati gave a talk at the first virtual cybersecurity conference at the Center for Criminal Justice, Intelligence and Cybersecurity at SUNY Canton.
Our proposal, Advancing Legal-Technological Approaches for Protecting Privacy Rights and Civil Liberties in the Age of Big Data has been awarded as part of the AI Initiative seed grant at UMaine.
Our paper, Towards Variability-Aware Legal-GRL Framework for Modeling Compliance Requirements, has been accepted at the 7th International Workshop on Evolving Security & Privacy Requirements Engineering (ESPRE) at RE 2020.
Our paper, Towards a heterogeneous IoT privacy architecture, has been accepted at the 35th Annual ACM Symposium on Applied Computing, 2020.
Our paper, A Methodology for Implementing the Formal Legal-GRL Framework: A Research Preview has been accepted at Int. Working Conference on Requirements Engineering: Foundation for Software Quality, 2020.
Our Workshop on PrivateNLP was held in Houston, TX collocated with WSDM20.
Our paper, Is It Possible to Preserve Privacy in the Age of AI? has been accepted at PrivateNLP Workshop.
Dr. Ghanavati gave a talk at IEEE COM/CS Chapter, at Husson University.
Our project, Privacy Consistency Framework for IoT Applications has been selected as the awardee for UMaine Research - Faculty Travel Fund.
Dr. Ghanavati gave a tech talk at Google Sunnyvale.
Dr. Ghanavati received a travel grant from NSF to attend CISE Career Workshop on April 8 - 9.
We received $5,000 in Google Cloud Platform credits for our research proposal.
Our research project "Privacy Statements’ Recommender System (PSRS) based on Permission Methods of Android Applications" has been funded by Google Faculty Research Award.
Our extended abstract and poster "Towards Integrating the FLG Framework with the NLP Combinatory Framework" by Amin Rabinia, Mauro Dragoni, and Sepideh Ghanavati has been accepted at PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies - AAAI Spring Symposium.
Dr. Ghanavati has received a travel award from "Bangor Savings Bank/LuRosso".
Started a position at UMaine.
The submission site for AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and Language Technologies is now open
Our paper, Privacy Consistency Analyzer for Android Applications, got accepted at ESPRE workshop.
Our paper, the FOL-based Legal-GRL (FLG) Framework: Towards an Automated Goal Modeling Approach for Regulations got accepted at MODRE workshop.
Dr. Ghanavati has received NSF Support Grant for Junior Researchers - CNS-1257011 - Schloss Dagstuhl for attending Dagstuhl Seminar 18171, "Normative Multi-Agent Systems", 2017.