Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering

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Reinforcement unlearning

D Ye, T Zhu, C Zhu, D Wang, K Gao, Z Shi… - arxiv preprint arxiv …, 2023 - arxiv.org
Machine unlearning refers to the process of mitigating the influence of specific training data
on machine learning models based on removal requests from data owners. However, one …
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RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization

C Feng, P Venkitasubramaniam - arxiv preprint arxiv:2402.06606, 2024 - arxiv.org
The rise of IoT devices has prompted the demand for deploying machine learning at-the-
edge with real-time, efficient, and secure data processing. In this context, implementing …
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GReDP: A More Robust Approach for Differential Private Training with Gradient-Preserving Noise Reduction

H Wang, T Jiang, Y Guo, C Cai, C Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Deep learning models have been extensively adopted in various regions due to their ability
to represent hierarchical features, which highly rely on the training set and procedures …
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