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Reading Note of the Paper "A Survey on Neural Speech Synthesis"
Text-to-speech (TTS), also known as speech synthesis, aims to synthesize intelligible and natural speech from text. Neural TTS adopts DNNs as the model backbone for speech synthesis.
Yanyun Wang
Last updated on Mar 17, 2025 1 min read
Reading Note of the Paper "A Survey on Neural Speech Synthesis"
Reading Note of the Paper "Membership Inference Attacks on Machine Learning - A Survey"
Membership Inference Attack (MIA) is to infer whether a data record was used to train a target model or not. MIAs on ML models can directly lead to a privacy breach.
Yanyun Wang
Last updated on Jun 17, 2023 1 min read
Reading Note of the Paper "Membership Inference Attacks on Machine Learning - A Survey"
Reading Note of the Paper "Survey - Leakage and Privacy at Inference Time"
Leakage of data from publicly available ML models is an area of growing significance since it can draw on multiple sources of data, including users’ sensitive data.
Yanyun Wang
Last updated on Jul 1, 2023 1 min read
Reading Note of the Paper "Survey - Leakage and Privacy at Inference Time"
Reading Note of the Paper "Threats to Pre-trained Language Models - Survey and Taxonomy"
Pre-trained language models (PTLMs) have achieved great success and remarkable performance, while there are growing concerns regarding their security issues.
Yanyun Wang
Last updated on Jul 10, 2023 1 min read
Reading Note of the Paper "Threats to Pre-trained Language Models - Survey and Taxonomy"