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Papers matching “privacy risks” 14

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I See That You Are Frustrated: An Analysis of Emotion Acknowledgment's Influence on Privacy Risk and Satisfaction
2026 SSRN Electronic Journal preprint Computer Science AI in Service Interactions Open access

Mert Yazan, Suzan Verberne, Frederik Situmeang

0

citations
I See That You Are Frustrated: An Analysis of Emotion Acknowledgment's Influence on Privacy Risk and Satisfaction
2026 SSRN Electronic Journal preprint Computer Science AI in Service Interactions Open access

Mert Yazan, Frederik Situmeang, Suzan Verberne

0

citations
Cross-modal linkage risk in clinical vision-language models
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn

0

citations
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Katharina Kuhl, +3 more

3

citations
Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing
2022 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Majid Rafiei, Gamal Elkoumy, Wil M. P. van der Aalst

0

citations
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, +1 more

19

citations
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining
2021 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst

3

citations
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, +1 more

0

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Undesirable Memorization in Large Language Models: A Survey
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Ali Satvaty, Suzan Verberne, Fatih Türkmen

1

citations
Experimental Private Quantum Networked Sensing
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Nicolas Laurent-Puig, Laura dos Santos Martins, Luís Bugalho, Santiago Scheiner, Majid Hassani, Sean William Moore, +2 more

0

citations
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, +10 more

0

citations
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, +10 more

0

citations
Metrics That Matter: A Practical Survey on Tabular Synthetic Data Evaluation
2026 preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jim L. Achterberg, Saif ul Islam, Gregory Epiphaniou, Carsten Maple, M. Haas, Marco René Spruit

1

citations

14 results