Hugging Face Trending Papers
Algorithmic stability via ensembling
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DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data
arXiv:2606. 04399v1 Announce Type: new Abstract: In the paradigm of decentralized learning, a group of agents collaborate to train a global model using distributed datasets without a central server.
arXiv Machine Learning
Aug 31
Performative Privacy: When Differential Privacy Maximizes Utility
arXiv:2608.28198v1 Announce Type: new Abstract: Privacy-preserving learning is often motivated by the idea that protecting users' data can preserve trust and thus participation, improving utility in...
arXiv Statistics ML
Aug 25
Stability and Accuracy Trade-offs in Statistical Estimation
arXiv:2601.11701v2 Announce Type: replace-cross Abstract: Algorithmic stability is a central concept in statistics and learning theory that measures how sensitive an algorithm's output is to small ch...
arXiv Machine Learning
Jul 3
Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness
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arXiv Machine Learning
Jun 15
Private Prediction via PAC Privacy
arXiv:2601. 14033v2 Announce Type: replace Abstract: Machine learning models are increasingly served behind APIs.
arXiv Machine Learning
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Let's Ask Gauss: Improved One-Run Privacy Auditing
arXiv:2606. 12733v2 Announce Type: replace Abstract: Privacy auditing provides an important safeguard by estimating the actual information leaked by a model, thus ensuring that theoretical privacy guarantees hold in practice.