Ana-Maria Cretu

Orcid: 0000-0002-9009-7381

Affiliations:
  • Imperial College London, UK


According to our database1, Ana-Maria Cretu authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data.
Proc. Priv. Enhancing Technol., 2024

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting.
Proc. Priv. Enhancing Technol., 2024

QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems.
CoRR, 2024

Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks.
Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

2023
Re-aligning Shadow Models can Improve White-box Membership Inference Attacks.
CoRR, 2023

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing.
Proceedings of the Computer Security - ESORICS 2023, 2023

Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

2022
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
Proceedings of the 31st USENIX Security Symposium, 2022

QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Dataset correlation inference attacks against machine learning models.
CoRR, 2021

2019
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Surprisingly Robust Trick for the Winograd Schema Challenge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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