Combining Risk-Management and Computational Approaches for Trustworthiness Evaluation of Socio-Technical Systems. - Nazila Gol Mohammadi; Torsten Bandyszak; Abigail Goldsteen; Costas Kalogiros; Thorsten Weyer; Micha Moffie; Bassem I. Nasser; Mike Surridge (CAiSE Forum, 2015)

Cyber-Physical Systems Design for Runtime Thrustworthiness Maintenance Supported by Tools. - Torsten Bandyszak; Nazila Gol Mohammadi; Mohamed Bishr; Abigail Goldsteen; Micha Moffie; Bassem I. Nasser; Sandro Hartenstein; Symeon Meichanetzoglou (REFSQ Workshops, 2015)

A Tool for Monitoring and Maintaining System Thrustworthiness at Runtime. - Abigail Goldsteen; Micha Moffie; Torsten Bandyszak; Nazila Gol Mohammadi; Xiaoyu Chen; Symeon Meichanetzoglou; Sotiris Ioannidis; Panos Chatziadam (REFSQ Workshops, 2015)

Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015. - Abigail Goldsteen; Tyrone Grandison; Mike Just; Larry Koved; Rohan Malcolm; Sean S. E. Thorpe (CoRR, 2015)

Application-Screen Masking: A Hybrid Approach. - Abigail Goldsteen; Ksenya Kveler; Tamar Domany; Igor Gokhman; Boris Rozenberg; Ariel Farkash (IEEE Softw., 2015)

Supporting Coordinated Maintenance of System Trustworthiness and User Trust at Runtime. - Torsten Bandyszak; Micha Moffie; Abigail Goldsteen; Panos Melas; Bassem I. Nasser; Costas Kalogiros; Gabriele Barni; Sandro Hartenstein; Giorgos Giotis; Thorsten Weyer (IFIPTM, 2016)

Brief Announcement: A Consent Management Solution for Enterprises. - Abigail Goldsteen; Shelly Garion; Sima Nadler; Natalia Razinkov; Yosef Moatti; Paula Ta-Shma (CSCML, 2017)

Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems. - Abigail Goldsteen; Tomer Douek; Yaniv Cohen; Igor Gokhman; Ofir Keren-Ackerman; Gadi Katsovich; Grisha Weintraub; Doron Ben-Ari (CoRR, 2019)

Reducing Risk of Model Inversion Using Privacy-Guided Training. - Abigail Goldsteen; Gilad Ezov; Ariel Farkash (CoRR, 2020)

Anonymizing Machine Learning Models. - Abigail Goldsteen; Gilad Ezov; Ron Shmelkin; Micha Moffie; Ariel Farkash (DPM/CBT@ESORICS, 2021)

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain. - Abigail Goldsteen; Ariel Farkash; Micha Moffie; Ron Shmelkin (MIE, 2022)

An end-to-end framework for privacy risk assessment of AI models. - Abigail Goldsteen; Shlomit Shachor; Natalia Razinkov (SYSTOR, 2022)

Data minimization for GDPR compliance in machine learning models. - Abigail Goldsteen; Gilad Ezov; Ron Shmelkin; Micha Moffie; Ariel Farkash (AI Ethics, 2022)

Improved Membership Inference Attacks Against Language Classification Models. - Shlomit Shachor; Natalia Razinkov; Abigail Goldsteen (CoRR, 2023)

AI privacy toolkit. - Abigail Goldsteen; Ola Saadi; Ron Shmelkin; Shlomit Shachor; Natalia Razinkov (SoftwareX, 2023)

Membership Inference Attacks Against Time-Series Models. - Noam Koren; Abigail Goldsteen; Guy Amit; Ariel Farkash (ACML, 2024)

Improving Membership Inference Attacks Against Classification Models. - Shlomit Shachor; Natalia Razinkov; Abigail Goldsteen; Ariel Farkash (KES-IDT, 2024)

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. - Guy Amit; Abigail Goldsteen; Ariel Farkash (CoRR, 2024)

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project. - Niamh Aspell; Abigail Goldsteen; Robin Renwick (Frontiers Digit. Health, 2024)

Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation. - Maya Anderson; Guy Amit; Abigail Goldsteen (ICISSP (2), 2025)