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12/16/2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
In this work, we devise robust and efficient learning protocols for orch...
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07/12/2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
With privacy legislation empowering users with the right to be forgotten...
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07/07/2022
Challenges and Pitfalls of Bayesian Unlearning
Machine unlearning refers to the task of removing a subset of training d...
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02/25/2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
Federated Learning (FL) is a novel paradigm for the shared training of m...
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12/20/2021
Certified Federated Adversarial Training
In federated learning (FL), robust aggregation schemes have been develop...
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09/06/2021
Automated Robustness with Adversarial Training as a Post-Processing Step
Adversarial training is a computationally expensive task and hence searc...
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08/03/2021
The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks
Deep Generative Models (DGMs) allow users to synthesize data from comple...
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12/03/2020
FAT: Federated Adversarial Training
Federated learning (FL) is one of the most important paradigms addressin...
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07/22/2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Federated Learning (FL) is an approach to conduct machine learning witho...
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10/22/2019
How can AI Automate End-to-End Data Science?
Data science is labor-intensive and human experts are scarce but heavily...
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05/04/2019
A Survey on Neural Architecture Search
The growing interest in both the automation of machine learning and deep...
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07/03/2018
Adversarial Robustness Toolbox v0.2.2
Adversarial examples have become an indisputable threat to the security ...
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06/07/2018
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data
We introduce a new Bayesian multi-class support vector machine by formul...
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11/22/2017
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Deep Learning models are vulnerable to adversarial examples, i.e. images...
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08/28/2017
Open-World Visual Recognition Using Knowledge Graphs
In a real-world setting, visual recognition systems can be brought to ma...
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05/25/2017
