Master's seminar Privacy-preserving Machine Learning
(Summer semester 2022)
Dates:
- 08.04.2022 to 15.07.2022
- not on Good Friday (15.04.)
Place and Time:
- Fridays 2:30 PM - 4:00 PM, online
Lecturer:
- Milica Gasic ()
Study programme:
- Master's programme in Computer Science (PO 2015)
- Master's programme in Artificial Intelligence and Data Science (PO 2019, PO 2021)
Credit Points:
- 5 CP (2 SWS)
Language:
- English
Schedule:
- 08.04.2022: Advances and Open Problems in Federated Learning (Dr. Blaise Thomson, Bitfount) https://arxiv.org/pdf/1912.04977.pdf
- 22.04.2022: Deep Learning with Differential Privacy (Henglin, Mir & Valenti, Davide) https://arxiv.org/pdf/1607.00133.pdf
- 29.04.2022: Privacy-Preserving Deep Learning (Erbrich, Leon & Pan, Tobias A.) http://www.cs.cornell.edu/~shmat/shmat_ccs15.pdf
- 06.05.2022: Communication-Efficient Learning of Deep Networks from Decentralized Data (Le, Thanh Nam & Mlodzian, Leon) http://proceedings.mlr.press/v54/mcmahan17a/mcmahan17a.pdf
- 13.05.2022: Practical Secure Aggregation for Privacy-Preserving Machine Learning (Mohr, Siegfried & Fedder, Sophia) https://dl.acm.org/doi/pdf/10.1145/3133956.3133982
- 20.05.2022: Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (Joachimi, Hannes & Krasnozhonova, Alina) https://www.usenix.org/system/files/conference/nsdi17/nsdi17-corrigan-gibbs.pdf
- 27.05.2022: Federated Learning: Strategies for Improving Communication Efficiency (Hasin, Max) https://arxiv.org/pdf/1610.05492.pdf
- 03.06.2022: Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity (Fleig, Maïwenn & Leutner, Liz) https://arxiv.org/pdf/1811.12469.pdf
- 10.06.2022: Privacy and Dialogue Systems (Dr. Birgit Popp, Fraunhofer IIS)
- 17.06.2022: Federated Learning for Mobile Keyboard Prediction (Rucks, Nick & Stroh, Markus) https://arxiv.org/pdf/1811.03604.pdf
- 24.06.2022: Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training (Maharjan, Saruna & Carretero Sahuquillo, Miguel A.) https://papers.nips.cc/paper/2021/file/ceb0595112db2513b9325a85761b7310-Paper.pdf
- 01.07.2022: Improving on-device speaker verification using federated learning with privacy (Matussek, Tim & Witte, Robin) https://arxiv.org/pdf/2008.02651.pdf
- 15.07.2022: Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data (Pasquali Quintana, Patricia M.) https://aclanthology.org/2021.acl-long.322/