Author of the publication

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.

, , , , and . EMNLP, page 8332-8347. Association for Computational Linguistics, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Machine Learning with Membership Privacy using Adversarial Regularization., , and . ACM Conference on Computer and Communications Security, page 634-646. ACM, (2018)On the Privacy Risks of Algorithmic Fairness., and . CoRR, (2020)Membership Inference Attacks Against Adversarially Robust Deep Learning Models., , and . IEEE Symposium on Security and Privacy Workshops, page 50-56. IEEE, (2019)Quantifizierung und Schutz von Location Privacy.. Ausgezeichnete Informatikdissertationen, volume D-14 of LNI, GI, (2013)Anonymous Routing in MANET Using Random Identifiers., , and . ICN, page 2. IEEE Computer Society, (2007)On The Impact of Machine Learning Randomness on Group Fairness., , , and . FAccT, page 1789-1800. ACM, (2023)On the Privacy Risks of Model Explanations., , and . AIES, page 231-241. ACM, (2021)Bias Propagation in Federated Learning., and . ICLR, OpenReview.net, (2023)Efficient and Adjustable Recipient Anonymity in Mobile Ad Hoc Networks., , , and . MASS, page 1-3. IEEE Computer Society, (2007)Membership Inference Attacks Against Machine Learning Models., , , and . IEEE Symposium on Security and Privacy, page 3-18. IEEE Computer Society, (2017)