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Privacy in Recommender Systems

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Privacy in Recommender Systems

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Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

The Privacy Power of Correlated Noise in Decentralized Learning

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

Privacy-Preserving Machine Learning on Graphs

Challenging the Assumptions: Rethinking Privacy, Bias, and Security in Machine Learning

On the (In)security of Peer-to-Peer Decentralized Machine Learning

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models

Incentive Mechanism in the Sponsored Content Market With Network Effects

CookieGraph: Understanding and Detecting First-Party Tracking Cookies