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## <a name="publications"></a> Publications

Zvika Brakerski and Nico Döttling
Lossiness and Entropic Hardness of Ring-LWE
Theory of Cryptography Conference, 2020
[Link](https://eprint.iacr.org/2020/1185)


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
[Link](https://eprint.iacr.org/2020/1186)

Pedro Branco, Nico Döttling, Sihang Pu
Multiparty Cardinality Testing for Threshold Private Set Intersection”
Public Key Cryptography, 2021
[Link](https://eprint.iacr.org/2020/1307)

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.
[Link](https://proceedings.neurips.cc//paper/2020/hash/9547ad6b651e2087bac67651aa92cd0d-Abstract.html)

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz, 
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
ACM Conference on Computer and Communications Security (CCS) , 2020
[Link](https://arxiv.org/abs/1909.03935)


Osman Mian, Alexander Marx, and Jilles Vreeken 
Discovering Fully Directed Causal Networks 
American Association for Artificial Intelligence, (AAAI) 2021.
[Link](http://eda.mmci.uni-saarland.de/pubs/2021/globe-mian,marx,vreeken-wapx.pdf)

Sebastian Dalleiger and Jilles Vreeken
Explainable Data Decompositions
American Association for Artificial Intelligence,(AAAI) 2020.
[Link](http://eda.mmci.uni-saarland.de/pubs/2020/disc-dalleiger,vreeken.pdf)

Sebastian Dalleiger and Jilles Vreeken
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery
IEEE International Conference on Data Mining, (ICDM) 2020.
[Link](http://eda.mmci.uni-saarland.de/pubs/2020/reaper-dalleiger,vreeken.pdf)


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, Yang Zhang 
Stealing Links from Graph Neural Networks
USENIX Security Symposium (USENIX Security) 2021
[Link](https://arxiv.org/abs/2005.02131)



## <a name="reports"></a> Reports

Yang He; Maximilian Zenk, and Mario Fritz 
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report, arXiv:2012.08241, 2020
[Link](https://arxiv.org/abs/2012.08241)

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](https://arxiv.org/abs/2102.02551)


Min Chen; Zhikun Zhang; Tianhao Wang; Michael Backes; Mathias Humbert; and Yang Zhang 
When Machine Unlearning Jeopardizes Privacy 
Technical Report, arXiv:2005.02205, 2020. 
[Link](https://arxiv.org/abs/2005.02205)

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