Overview on Usenix Security 23 Extracting Training Data From Diffusion Models
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Efficient Training Image Extraction from Diffusion Models Ryan Webs
USENIX Security '23 - Generative Intrusion Detection and Prevention on Data Stream
USENIX Security '23 - PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In...
USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction
USENIX Security '24 - It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert...
USENIX Security '22 - DnD: A Cross-Architecture Deep Neural Network Decompiler
USENIX Security '22 - Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity
USENIX Security '23 - Rethinking White-Box Watermarks on Deep Learning Models under Neural...
USENIX Security '21 - Automatic Extraction of Secrets from the Transistor Jungle using...
USENIX Security '23 - Network Detection of Interactive SSH Impostors Using Deep Learning
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Last Updated: August 23, 2026
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