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Biblio
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Filters: Author is Nicolas Papernot [Clear All Filters]
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. 31st USENIX Security Symposium (USENIX Security 22). :4007--4022.
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2022. Towards More Robust Keyword Spotting for Voice Assistants. 31st USENIX Security Symposium (USENIX Security 22). :2655--2672.
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2022. Entangled Watermarks as a Defense against Model Extraction. 30th USENIX Security Symposium (USENIX Security 21). :1937--1954.
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2021. High Accuracy and High Fidelity Extraction of Neural Networks. 29th USENIX Security Symposium (USENIX Security 20). :1345--1362.
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2020. Machine Learning at Scale with Differential Privacy in TensorFlow. 2019 {USENIX} Conference on Privacy Engineering Practice and Respect ({PEPR} 19).
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2019.