tamlhp

Brief Explanation or Pseudocode for Factorial Sampler

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Dear Dr. Matthew J. Johnson, I am very interested in your work, especially time series models. Hopefully you can find some time to help me with this issue. This repository...

https://awesome-privex.github.io/ We are looking forward to your suggestions.

New arXiv paper(s) about privacy-preserving explainable AI

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Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks https://arxiv.org/abs/2404.07139

New paper(s) about federated unlearning

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Federated Unlearning: a Perspective of Stability and Fairness https://arxiv.org/abs/2402.01276

Multi-Modal Recommendation Unlearning https://arxiv.org/abs/2405.15328

New paper(s) on machine unlearning applications

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Learning and Unlearning to Operate Profitable Secure Electric Vehicle Charging https://ieeexplore.ieee.org/abstract/document/10541863

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience https://arxiv.org/abs/2405.18040

New arXiv paper(s) about machine unlearning

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Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models https://arxiv.org/abs/2405.15234

DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning https://dl.acm.org/doi/10.1145/3589313

Communication Efficient and Provable Federated Unlearning https://www.vldb.org/pvldb/vol17/p1542-li.pdf