Abigail Goldsteen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Machine Learning Models

Risk Assessment

Adversarial Information Retrieval

Top Venues

REFSQ Workshops

Publications

Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit
Membership Inference Attacks Against Time-Series Models. CoRR (2024)
Guy Amit, Abigail Goldsteen, Ariel Farkash
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. CoRR (2024)
Niamh Aspell, Abigail Goldsteen, Robin Renwick
Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project. Frontiers Digit. Health 6 (2024)
Maya Anderson, Guy Amit, Abigail Goldsteen
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation. CoRR (2024)
Abigail Goldsteen, Ola Saadi, Ron Shmelkin, Shlomit Shachor, Natalia Razinkov
AI privacy toolkit. SoftwareX 22 (2023)
Shlomit Shachor, Natalia Razinkov, Abigail Goldsteen
Improved Membership Inference Attacks Against Language Classification Models. CoRR (2023)
Abigail Goldsteen, Shlomit Shachor, Natalia Razinkov
An end-to-end framework for privacy risk assessment of AI models. SYSTOR (2022)
Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain. MIE (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data minimization for GDPR compliance in machine learning models. AI Ethics 2 (3) (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. DPM/CBT@ESORICS (2021)
Abigail Goldsteen, Gilad Ezov, Ariel Farkash
Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data Minimization for GDPR Compliance in Machine Learning Models. CoRR (2020)
Abigail Goldsteen, Tomer Douek, Yaniv Cohen, Igor Gokhman, Ofir Keren-Ackerman, Gadi Katsovich, Grisha Weintraub, Doron Ben-Ari
Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems. CoRR (2019)
Abigail Goldsteen, Shelly Garion, Sima Nadler, Natalia Razinkov, Yosef Moatti, Paula Ta-Shma
Brief Announcement: A Consent Management Solution for Enterprises. CSCML (2017)
Torsten Bandyszak, Micha Moffie, Abigail Goldsteen, Panos Melas, Bassem I. Nasser, Costas Kalogiros, Gabriele Barni, Sandro Hartenstein, Giorgos Giotis, Thorsten Weyer
Supporting Coordinated Maintenance of System Trustworthiness and User Trust at Runtime. IFIPTM (2016)
Abigail Goldsteen, Tyrone Grandison, Mike Just, Larry Koved, Rohan Malcolm, Sean S. E. Thorpe
Proceedings of the Ninth Workshop on Web 2.0 Security and Privacy (W2SP) 2015. CoRR (2015)
Nazila Gol Mohammadi, Torsten Bandyszak, Abigail Goldsteen, Costas Kalogiros, Thorsten Weyer, Micha Moffie, Bassem I. Nasser, Mike Surridge
Combining Risk-Management and Computational Approaches for Trustworthiness Evaluation of Socio-Technical Systems. CAiSE Forum (2015)
Torsten Bandyszak, Nazila Gol Mohammadi, Mohamed Bishr, Abigail Goldsteen, Micha Moffie, Bassem I. Nasser, Sandro Hartenstein, Symeon Meichanetzoglou
Cyber-Physical Systems Design for Runtime Thrustworthiness Maintenance Supported by Tools. REFSQ Workshops (2015)
Abigail Goldsteen, Ksenya Kveler, Tamar Domany, Igor Gokhman, Boris Rozenberg, Ariel Farkash
Application-Screen Masking: A Hybrid Approach. IEEE Softw. 32 (4) (2015)
Abigail Goldsteen, Micha Moffie, Torsten Bandyszak, Nazila Gol Mohammadi, Xiaoyu Chen, Symeon Meichanetzoglou, Sotiris Ioannidis, Panos Chatziadam
A Tool for Monitoring and Maintaining System Thrustworthiness at Runtime. REFSQ Workshops (2015)