Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
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TransMIA: Membership Inference Attacks Using Transfer Shadow Training
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Is Private Learning Possible with Instance Encoding?
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On the Privacy Risks of Algorithmic Fairness
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FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
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Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Authors: Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong | Published: 2020-10-26
Image Obfuscation for Privacy-Preserving Machine Learning
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Higher-Order Certification for Randomized Smoothing
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TextHide: Tackling Data Privacy in Language Understanding Tasks
Authors: Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora | Published: 2020-10-12
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
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