Usenix Security 23 Decompiling X86 Deep Neural Network Executables

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USENIX Security '23 - Decompiling x86 Deep Neural Network Executables

USENIX Security '23 - Decompiling x86 Deep Neural Network Executables

USENIX Security '23 - Decompiling x86 Deep Neural Network Executables BTD: Unleashing the Power of Decompilation for x86 Deep Neural Network Executables USENIX Security '22 - DnD: A Cross-Architecture Deep Neural Network Decompiler USENIX Security '23 - A Data-free Backdoor Injection Approach in Neural Networks USENIX Security '23 - Smart Learning to Find Dumb Contracts USENIX Security '23 - IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks USENIX Security '23 - ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning.. USENIX Security '23 - Can a Deep Learning Model for One Architecture Be Used for Others?... USENIX Security '23 - Rethinking White-Box Watermarks on Deep Learning Models under Neural... USENIX Security '20 - High Accuracy and High Fidelity Extraction of Neural Networks USENIX Security '23 - PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In... Decompile in 3 minutes USENIX Security '24 - UBA-Inf: Unlearning Activated Backdoor Attack with Influence-Driven Camouflage USENIX Security '24 - Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with... USENIX Security '23 - Extracting Training Data from Diffusion Models USENIX Security '23 - Network Detection of Interactive SSH Impostors Using Deep Learning USENIX Security '24 - Fast and Private Inference of Deep Neural Networks by Co-designing... USENIX Security '23 - The Most Dangerous Codec in the World: Finding and Exploiting... USENIX Security '21 - DeepReflect: Discovering Malicious Functionality through Binary Reconstruction Understanding which executables can be decompiled and How It Works

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