Results 1 to 10 of about 1,356,838 (195)
Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits
Proceedings of the IEEE, 2003 K. Roy +2 more
exaly +2 more sources
ProPILE: Probing Privacy Leakage in Large Language Models [PDF]
Neural Information Processing Systems, 2023 The rapid advancement and widespread use of large language models (LLMs) have raised significant concerns regarding the potential leakage of personally identifiable information (PII).
Siwon Kim +5 more
semanticscholar +1 more source
Leakage and the Reproducibility Crisis in ML-based Science [PDF]
arXiv.org, 2022 The use of machine learning (ML) methods for prediction and forecasting has become widespread across the quantitative sciences. However, there are many known methodological pitfalls, including data leakage, in ML-based science.
Sayash Kapoor, Arvind Narayanan
semanticscholar +1 more source
Non-infectious complications of peritoneal dialysis and peritoneal scintigraphy
Bulletin de la Dialyse à Domicile, 2021 Peritoneal dialysis (PD) is an alternative to hemodialysis that is indicated in patients with chronic end-stage disease. It has many advantages, but also complications such as dialysate leaks around the catheter insertion site, in the abdominal wall or ...
Pierre Pascal, Marie-Béatrice
doaj +1 more source
Leakage and the reproducibility crisis in machine-learning-based science
Patterns, 2023 Summary Machine-learning (ML) methods have gained prominence in the quantitative sciences. However, there are many known methodological pitfalls, including data leakage, in ML-based science.
Sayash Kapoor, Arvind Narayanan
semanticscholar +1 more source
Overcoming leakage in quantum error correction [PDF]
Nature Physics, 2022 The leakage of quantum information out of the two computational states of a qubit into other energy states represents a major challenge for quantum error correction.
K. Miao +116 more
semanticscholar +1 more source
IEEE Access, 2023 In this paper, a real-time leak source localization method based on convolutional neural network (CNN) of elastic wavefield images and spatio-temporal correlation analysis (STCA) is developed for the pressure vessel leakage.
Bian Xu, Huang Xinjing
doaj +1 more source
Exploiting Unintended Feature Leakage in Collaborative Learning [PDF]
IEEE Symposium on Security and Privacy, 2018 Collaborative machine learning and related techniques such as federated learning allow multiple participants, each with his own training dataset, to build a joint model by training locally and periodically exchanging model updates.
Luca Melis +3 more
semanticscholar +1 more source
Membership Leakage in Label-Only Exposures [PDF]
Conference on Computer and Communications Security, 2020 Machine learning (ML) has been widely adopted in various privacy-critical applications, e.g., face recognition and medical image analysis. However, recent research has shown that ML models are vulnerable to attacks against their training data. Membership
Zheng Li, Yang Zhang
semanticscholar +1 more source
Removing leakage-induced correlated errors in superconducting quantum error correction [PDF]
Nature Communications, 2021 Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated.
M. McEwen +50 more
semanticscholar +1 more source