Quick Overview: Enhancing Network Attack Detection with Distributed and In-Network Trust Me If You Can – How Usable Is Trusted Types In We also provided directions for future research in ML model extraction security. View the full

Usenix Security 24 Practical Data - Detailed Overview & Context

Enhancing Network Attack Detection with Distributed and In-Network Trust Me If You Can – How Usable Is Trusted Types In We also provided directions for future research in ML model extraction security. View the full Leveraging Semantic Relations in Code and Hijacking Attacks against Neural Network by Analyzing Training

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USENIX Security '24 - Practical Data-Only Attack Generation
USENIX Security '24 - Enhancing Network Attack Detection with Distributed and In-Network Data...
USENIX Security '24 - "I'm not convinced that they don't collect more than is necessary":...
USENIX Security '24 - GridSE: Towards Practical Secure Geographic Search via Prefix Symmetric...
USENIX Security '24 - On Data Fabrication in Collaborative Vehicular Perception: Attacks and...
USENIX Security '24 - Trust Me If You Can – How Usable Is Trusted Types In Practice?
USENIX Security '24 - SoK: Neural Network Extraction Through Physical Side Channels
USENIX Security '24 - SoK: All You Need to Know About On-Device ML Model Extraction - The Gap...
USENIX Security '24 - Exploring Covert Third-party Identifiers through External Storage in the...
USENIX Security '24 - Abuse Reporting for Metadata-Hiding Communication Based on Secret Sharing
USENIX Security '24 - Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of...
USENIX Security '24 - Hijacking Attacks against Neural Network by Analyzing Training Data
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