Media Summary: Privee: An Architecture for Automatically Analyzing Web Privacy Policies Sebastian Zimmeck and Steven M. Bellovin, Columbia ... Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti, ETH Zurich; Giorgio Severi, Northeastern University; ...

Usenix Security 23 Linear Private - Detailed Analysis & Overview

Privee: An Architecture for Automatically Analyzing Web Privacy Policies Sebastian Zimmeck and Steven M. Bellovin, Columbia ... Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti, ETH Zurich; Giorgio Severi, Northeastern University; ...

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USENIX Security '23 - Linear Private Set Union from Multi-Query Reverse Private Membership Test
USENIX Security '23 - Efficient Unbalanced Private Set Intersection Cardinality and User-friendly...
USENIX Security '23 - Authenticated private information retrieval
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USENIX Security '23 - How to Cover up Anomalous Accesses to Electronic Health Records
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USENIX Security '23 - GigaDORAM: Breaking the Billion Address Barrier
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USENIX Security '23 - Linear Private Set Union from Multi-Query Reverse Private Membership Test

USENIX Security '23 - Linear Private Set Union from Multi-Query Reverse Private Membership Test

USENIX Security

USENIX Security '23 - Efficient Unbalanced Private Set Intersection Cardinality and User-friendly...

USENIX Security '23 - Efficient Unbalanced Private Set Intersection Cardinality and User-friendly...

USENIX Security

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USENIX Security '23 - Authenticated private information retrieval

USENIX Security '23 - Authenticated private information retrieval

USENIX Security

USENIX Security '23 - ​​How Library IT Staff Navigate Privacy and Security Challenges and...

USENIX Security '23 - ​​How Library IT Staff Navigate Privacy and Security Challenges and...

USENIX Security

USENIX Security '24 - A Linear Reconstruction Approach for Attribute Inference Attacks against...

USENIX Security '24 - A Linear Reconstruction Approach for Attribute Inference Attacks against...

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USENIX Security '23 - How to Cover up Anomalous Accesses to Electronic Health Records

USENIX Security '23 - How to Cover up Anomalous Accesses to Electronic Health Records

USENIX Security

USENIX Security '23 - Lalaine: Measuring and Characterizing Non-Compliance of Apple Privacy Labels

USENIX Security '23 - Lalaine: Measuring and Characterizing Non-Compliance of Apple Privacy Labels

USENIX Security

USENIX Security '23 - Don’t be Dense: Efficient Keyword PIR for Sparse Databases

USENIX Security '23 - Don’t be Dense: Efficient Keyword PIR for Sparse Databases

USENIX Security

USENIX Security '23 - A Hybrid Alias Analysis and Its Application to Global Variable Protection...

USENIX Security '23 - A Hybrid Alias Analysis and Its Application to Global Variable Protection...

USENIX Security

USENIX Security '23 - Powering for Privacy: Improving User Trust in Smart Speaker Microphones with..

USENIX Security '23 - Powering for Privacy: Improving User Trust in Smart Speaker Microphones with..

USENIX Security

USENIX Security '23 - GigaDORAM: Breaking the Billion Address Barrier

USENIX Security '23 - GigaDORAM: Breaking the Billion Address Barrier

USENIX Security

USENIX Security '23 - EnigMap: External-Memory Oblivious Map for Secure Enclaves

USENIX Security '23 - EnigMap: External-Memory Oblivious Map for Secure Enclaves

USENIX Security

USENIX Security '22 - Creating a Secure Underlay for the Internet

USENIX Security '22 - Creating a Secure Underlay for the Internet

USENIX Security

USENIX Security '14 - Privee: An Architecture for Automatically Analyzing Web Privacy Policies

USENIX Security '14 - Privee: An Architecture for Automatically Analyzing Web Privacy Policies

Privee: An Architecture for Automatically Analyzing Web Privacy Policies Sebastian Zimmeck and Steven M. Bellovin, Columbia ...

USENIX Security '23 - LibScan: Towards More Precise Third-Party Library Identification for...

USENIX Security '23 - LibScan: Towards More Precise Third-Party Library Identification for...

USENIX Security

USENIX Security '24 - Fast and Private Inference of Deep Neural Networks by Co-designing...

USENIX Security '24 - Fast and Private Inference of Deep Neural Networks by Co-designing...

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USENIX Security '24 - Privacy Side Channels in Machine Learning Systems

USENIX Security '24 - Privacy Side Channels in Machine Learning Systems

Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti, ETH Zurich; Giorgio Severi, Northeastern University; ...

USENIX ATC '23 - SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving...

USENIX ATC '23 - SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving...

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