The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
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Sybil Attacks on Federated Learning
Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called FoolsGold.
Works Mentioned:
The Limitations of Federated Learning in Sybil Settings
Twitter:
@clemfung
Website:
https://clementfung.github.io/
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