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Mathieu Sinn

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ambrish Rawat

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Publications

2022
[c23]
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  - conf/esorics/RawatLS22
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  - https://dblp.org/rec/conf/esorics/RawatLS22
Ambrish Rawat, Killian Levacher, Mathieu Sinn:
The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models. ESORICS (3) 2022: 776-783
[i16]
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  - journals/corr/abs-2202-12443
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  - https://dblp.org/rec/journals/corr/abs-2202-12443
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger:
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach. CoRR abs/2202.12443 (2022)
2021
[i15]
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  - journals/corr/abs-2108-01644
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Ambrish Rawat, Killian Levacher, Mathieu Sinn:
The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks. CoRR abs/2108.01644 (2021)
[i13]
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  - journals/corr/abs-2109-02532
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Ambrish Rawat, Mathieu Sinn, Beat Buesser:
Automated Robustness with Adversarial Training as a Post-Processing Step. CoRR abs/2109.02532 (2021)
[i12]
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  - journals/corr/abs-2112-10525
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Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin:
Certified Federated Adversarial Training. CoRR abs/2112.10525 (2021)
2020
[i11]
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  - journals/corr/abs-2007-10987
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Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay:
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR abs/2007.10987 (2020)
[i10]
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  - journals/corr/abs-2012-01791
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Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser:
FAT: Federated Adversarial Training. CoRR abs/2012.01791 (2020)
2018
[c21]
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  - electronic edition @ mlr.press (open access)
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  - conf/aistats/SinnR18
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Mathieu Sinn, Ambrish Rawat:
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training. AISTATS 2018: 642-651
[i5]
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  - journals/corr/abs-1807-01069
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Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards:
Adversarial Robustness Toolbox v0.2.2. CoRR abs/1807.01069 (2018)

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