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Robust Learning Protocol for Federated Tumor Segmentation Challenge


Dec 16, 2022
Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin

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* 14 pages, 2 figures, 3 tables 

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Federated Unlearning: How to Efficiently Erase a Client in FL?


Jul 12, 2022
Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo

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* Updatable ML (UpML) Workshop, International Conference on Machine Learning (ICML) 2022 

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Challenges and Pitfalls of Bayesian Unlearning


Jul 07, 2022
Ambrish Rawat, James Requeima, Wessel Bruinsma, Richard Turner

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* 5 pages, 3 figures, Updatable ML (UpML) Workshop, International Conference on Machine Learning (ICML) 2022 

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Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach


Feb 25, 2022
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger

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* 16 pages, 4 figures, 2 tables 

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Certified Federated Adversarial Training


Dec 20, 2021
Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Sergio Maffeis, Chris Hankin

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* First presented at the 1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL 2021) 

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Automated Robustness with Adversarial Training as a Post-Processing Step


Sep 06, 2021
Ambrish Rawat, Mathieu Sinn, Beat Buesser

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The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks


Aug 03, 2021
Ambrish Rawat, Killian Levacher, Mathieu Sinn

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* 33 pages, 10 figures 

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FAT: Federated Adversarial Training


Dec 03, 2020
Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser

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* NeurIPS 2020 Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL) 

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IBM Federated Learning: an Enterprise Framework White Paper V0.1


Jul 22, 2020
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

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* 17 pages 

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How can AI Automate End-to-End Data Science?


Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray

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