News

03/28/2024

Congratulations to Maxwell Prybylo for receiving MSGC Graduate Summer Fellowships for the project entitled, "Perception vs. Reality: Unveiling the Privacy Knowledge Gap Among Software Developers".

03/21/2024

Our paper "Requirements Satisfiability with In-Context Learning" at the RE'2024 conference.

12/3-9/2023

Vijayanta Jain attended FSE for showcasing our Demonstration Paper.

11/22/2023

Dr. Ghanavati gave a guest lecture in the Information Privacy Law at UMaine School of Law.

11/20/2023

Dr. Ghanavati gave an invited talk at York University in Toronto, Canada.

11/16-17/2023

Dr. Ghanavati attended Leadership in Science Policy Institute (LiSPI) in Washington DC.

11/01/2023

Congratulations to Wilder Baldwin for receiving CUGR Fellowship.

10/20/2023

Dr. Ghanavati and Zack Delile attended UMaine Board Of Visitors/ Integration of Research and Teaching Panel.

09/05/2023

We have new members at PERC_Lab. Welcome to our group: Ersi Cako, Wilder Baldwin and Ryan Shanz..

09/04/2023

Dr. Ghanavati gave a keynote "Privacy is not an Afterthought: Raising Awareness Towards Privacy-Driven Software Development" at ESPRE'23 in Hannover, Germany.

07/20/2023

Our paper "A Language Model of Java Methods with Train/Test Deduplication" has been accepted for Demonstration at >ESEC/FSE 2023.

07/05/2023

Vijayanta Jain presented our paper "Towards Fine-Grained Localization of Privacy Behaviors" at Euro S&P 2023.

04/03/2023

Vijayanta Jain and Sepideh Ghanavati gave a Tech Talk at Google.

03/09/2023

"Ghanavati awarded $674,804 from NSF to study data privacy", UMaine News.

03/04/2023

Our paper, "Understanding Developers Privacy Concerns Through Reddit Thread Analysis", got accepted at, NLP4RE'23 Workshop.

01/25/2023

We have new members at PERC_Lab. Welcome to our group: Kenzie Young, Joe Godinez, Hannah Kleine, Garrette Engstrom, and Sean Radel.

12/09/2022

Vijayanta Jain successfully defended his thesis proposal. Congratulations to our new Ph.D. Candidate.

09/01/2022

We have new members at PERC_Lab. Welcome to our group: Sara Haghighi.

06/01/2022

Dr. Ghanavati won the UMaine Summer Fellowship award.

05/17/2022

We presented our work at ACM WiSec 2022.

03/17/2022

Our paper, "PAcT: Detecting and Classifying Privacy Behavior of Android Applications", has been accepted at WiSec 2022.

03/10/2022

Congratulations to Stephen Kaplan and Max Prybylo for receiving CUGR Summer Fellowship and MSGC Summer fellowship awards.

10/12/2021

Our grant proposal, "Evaluating Developers' Privacy Comprehension During Mobile Applications Development Process", got funded by Google's privacy-related faculty award program.

09/16/2021

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.

08/11/2021

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.

07/03/2021

Our paper, "Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies", got accepted for publication at ESPRE'21.

06/09/2021

Dr. Ghanavati gave a talk at ACM-W Celebrating Technology Leaders: Women in Cybersecurity.

03/12/2021

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.

03/12/2021

Dr. Ghanavati gave a talk at ACM-W Celebrating Technology Leaders: Women in Cybersecurity.

11/11/2020

Our journal paper, "RationalGRL: A Framework for Argumentation and Goal Modeling", has been accepted for publication in the Journal of Argument & Computation, 2020..

10/22/2020

Dr. Ghanavati gave a talk at the first virtual cybersecurity conference at the Center for Criminal Justice, Intelligence and Cybersecurity at SUNY Canton.

07/17/2020

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.

06/30/2020

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.

03/30/2020

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.

02/07/2020

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.

11/13/2019

Dr. Ghanavati gave a talk at IEEE COM/CS Chapter, at Husson University.

04/03/2019

Our project, "Privacy Consistency Framework for IoT Applications", has been selected as the awardee for UMaine Research - Faculty Travel Fund.

03/28/2019

Dr. Ghanavati gave a tech talk at Google Sunnyvale.

03/14/2019

Dr. Ghanavati received a travel grant from NSF to attend CISE Career Workshop on April 8 - 9.

03/08/2019

Dr. Ghanavati received $5,000 in Google Cloud Platform credits for our research proposal.

02/28/2019

Our research project "Privacy Statements; Recommender System (PSRS) based on Permission Methods of Android Applications", has been funded by Google Faculty Research Award.

01/30/2019

Our extended abstract and poster "Towards Integrating the FLG Framework with the NLP Combinatory Framework", has been accepted at PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies - AAAI Spring Symposium.

10/29/2018

Dr. Ghanavati has received a travel award from "Bangor Savings Bank/LuRosso".

07/06/2018

Our paper, "Privacy Consistency Analyzer for Android Applications", got accepted at ESPRE workshop.

Our paper, "FOL-based Legal-GRL (FLG) Framework: Towards an Automated Goal Modeling Approach for Regulations" got accepted at MODRE workshop.