Zvika Brakerski and Nico Döttling
Lossiness and Entropic Hardness of Ring-LWE
Theory of Cryptography Conference, 2020

Zvika Brakerski, Pedro Branco, Nico Döttling, Sanjam Garg, and Giulio Malavolta
Constant-Ciphertext-Rate Non-Committing Encryption from Standard Assumptions
Theory of Cryptography Conference, 2020

Pedro Branco, Nico Döttling, and Sihang Pu
Multiparty Cardinality Testing for Threshold Private Set Intersection
Public Key Cryptography, 2021

Dingfan Chen, Tribhuvanesh Orekondy, and Mario Fritz
Gs-wgan: A gradient-sanitized approach for learning differentially private generators.
Advances in Neural Information Processing Systems 33, (NeurIPS) 2020.

Dingfan Chen, Ning Yu, Yang Zhang, and Mario Fritz
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
ACM Conference on Computer and Communications Security (CCS), 2020

Osman Mian, Alexander Marx, and Jilles Vreeken
Discovering Fully Directed Causal Networks
American Association for Artificial Intelligence, (AAAI) 2021.

Sebastian Dalleiger and Jilles Vreeken
Explainable Data Decompositions
American Association for Artificial Intelligence,(AAAI) 2020.

Sebastian Dalleiger and Jilles Vreeken
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery
IEEE International Conference on Data Mining, (ICDM) 2020.

Sebastian Stammler, Tobias Kussel, Phillipp Schoppmann, Florian Stampe, Galina Tremper, Stefan Katzenbeisser, Kay Hamacher, and Martin Lablans Mainzelliste SecureEpiLinker (MainSEL) Privacy-Preserving Record Linkage using Secure Multi-Party Computation
Bioinformatics, 2020

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, and Yang Zhang
Stealing Links from Graph Neural Networks
USENIX Security Symposium (USENIX Security) 2021


Yang He, Maximilian Zenk, and Mario Fritz
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report, arXiv:2012.08241, 2020

Yugeng Liu, Rui Wen, Xinlei He, Ahemd Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, and Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Technical Report, arXiv:2102.02551, 2021. Link

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, and Yang Zhang
When Machine Unlearning Jeopardizes Privacy
Technical Report, arXiv:2005.02205, 2020.

Jan Henning Behrens et al.
Sachbearbeitung und künstliche Intelligenz: Forschungsstand, Einsatzbereiche und Handlungsfelder. Band 4, Serie “Automatisierung und Unterstützung in der Sachbearbeitung mit Künstlicher Intelligenz”, acatech, 2021.


Challenge on federated brain tumor segmentation accepted at MICCAI 2021 (doi: 10.5281/zenodo.4573127)