"AWS Clean Rooms ML is enhancing our ability to measure user purchase propensity. Privacy-safe deep learning allows us to capture complex relationships between users and their shopping journeys, enabling more precise targeting for our brands. For the first time, we can customize the shopper journey...
18.2021-AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing(Proceedings on Privacy Enhancing Technologies 2022) 提出了 AriaNN,一种用于私有神经网络训练和敏感数据推理的低交互隐私保护框架。半诚实的 2 方计算协议(与受信任的经销商)利用功能秘密共享,这是一种最近的轻量级加密协议...
As we continue to apply and refine our PPML processes with the intent of further enhancing privacy guarantees, we recognize that the more we learn, the larger the scope becomes for addressing privacy concerns across the entire pipeline. We will continue focusing on: Following regulations a...
specifically deep learning, highlighting issues and limitations in existing countermeasures. Cryptographic and perturbation techniques are studied in detail. Homomorphic encryption, functional encryption, and secure multi-party computation protocols are analyzed, determining their effect on enhancing the privacy o...
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Surveydoi:10.3390/electronics12122703INTERNET of thingsDATA privacyMACHINE learningARTIFICIAL intelligenceMEDICAL personnelMEDICAL equipmentINTERNET privacyAdvancements in wearable medical devices us...
Enhancing privacy-preserving machine learning with self-learnable activation functions in fully homomorphic encryption In the field of artificial intelligence and data engineering, the effective utilization of data is critical for improving productivity across various secto... J Xiong,J Chen,J Lin,... ...
会议地点: Washington DC, USA 届数: 25 CCF:cCORE:b浏览:37956关注:101参加:7 征稿 Papers submitted to PETS/PoPETs should present novel practical and/or theoretical research into the requirements, design, analysis, experimentation, or fielding of privacy-enhancing technologies and the social, cultural...
Enveil is a Privacy Enhancing Tech company protecting Data in Use to enable secure data usage, collaboration, and monetization, changing how orgs unlock value.
Enhancing Technol. (2019)View more references Cited by (3) On the local convergence of ADAM-DPGAN with simultaneous and alternating gradient decent training methods 2025, Expert Systems with Applications Show abstract Machine learning security and privacy: a review of threats and countermeasures 2024,...
Addressing this threat, for example through privacy-enhancing technologies (PETs), requires a rigorous definition of what exactly is being protected, that is, of privacy itself. In this work, we formulate an axiomatic definition of privacy based on quantifiable and irreducible information flows. Our...