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2020 – today
- 2022
[j4]Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey:
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks. Frontiers Artif. Intell. 5: 813842 (2022)- [i6]Christopher Mühl, Franziska Boenisch:
Personalized PATE: Differential Privacy for Machine Learning with Individual Privacy Guarantees. CoRR abs/2202.10517 (2022) - [i5]Anvith Thudi, Ilia Shumailov, Franziska Boenisch, Nicolas Papernot:
Bounding Membership Inference. CoRR abs/2202.12232 (2022) - 2021
- [j3]Franziska Boenisch:
Privatsphäre und Maschinelles Lernen. Datenschutz und Datensicherheit 45(7): 448-452 (2021) - [j2]Franziska Boenisch:
A Systematic Review on Model Watermarking for Neural Networks. Frontiers Big Data 4: 729663 (2021) - [c3]Franziska Boenisch, Reinhard Munz, Marcel Tiepelt, Simon Hanisch, Christiane Kuhn, Paul Francis:
Side-Channel Attacks on Query-Based Data Anonymization. CCS 2021: 1254-1265 - [c2]Franziska Boenisch, Verena Battis, Nicolas Buchmann, Maija Poikela:
"I Never Thought About Securing My Machine Learning Systems": A Study of Security and Privacy Awareness of Machine Learning Practitioners. Mensch und Computer 2021: 520-546 - [i4]Franziska Boenisch, Philip Sperl, Konstantin Böttinger:
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. CoRR abs/2105.07985 (2021) - [i3]Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot:
When the Curious Abandon Honesty: Federated Learning Is Not Private. CoRR abs/2112.02918 (2021) - 2020
- [i2]Franziska Boenisch:
A Survey on Model Watermarking Neural Networks. CoRR abs/2009.12153 (2020)
2010 – 2019
- 2019
- [c1]Franziska Boenisch:
Applying Differential Privacy to Machine Learning: Challenges and Potentials. Krypto-Tag 2019 - 2018
- [j1]Franziska Boenisch, Benjamin Rosemann
, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf:
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence. Frontiers Robotics AI 5: 35 (2018) - [i1]Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, Fernando Wario, David Dormagen, Tim Landgraf:
Tracking all members of a honey bee colony over their lifetime. CoRR abs/1802.03192 (2018)
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