Topic: privacy-attacks Goto Github
Some thing interesting about privacy-attacks
Some thing interesting about privacy-attacks
privacy-attacks,[IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, Bo Li
Organization: ai-secure
privacy-attacks,Marich is a model-agnostic extraction algorithm. It uses a public data to query a private model, aggregates the predicted labels, and construct a distributionall equivalent/max-information leaking extracted model.
User: debabrota-basu
privacy-attacks,A mitigation method against privacy violation attacks on face recognition systems
User: guyelov
privacy-attacks,The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
User: jeffhj
privacy-attacks,[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".
User: lukasstruppek
Home Page: https://proceedings.mlr.press/v162/struppek22a.html
privacy-attacks,Source code for https://arxiv.org/abs/2301.10053
Organization: synthetic-society
privacy-attacks,Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021
User: wangkua1
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