Usenix Security 22 How Machine Learning Is Solving The Binary Function Similarity Problem

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Overview to Usenix Security 22 How Machine Learning Is Solving The Binary Function Similarity Problem

Full USENIX Security '22 - How Machine Learning Is Solving the Binary Function Similarity Problem News

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Key Details

Full USENIX Security '14 - Blanket Execution: Dynamic Similarity Testing for Program Binaries Guide

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History

Details Trex: Learning Execution Semantics from Micro Traces for Binary Similarity News

Stay updated on Usenix Security 22 How Machine Learning Is Solving The Binary Function Similarity Problem's latest milestones.

USENIX Security '15 - Recognizing Functions in Binaries with Neural Networks

USENIX Security '22 - Ground Truth for Binary Disassembly is Not Easy

USENIX Security '21 - DeepReflect: Discovering Malicious Functionality through Binary Reconstruction

USENIX Security '22 - SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

USENIX Security '22 - Transferring Adversarial Robustness Through Robust Representation Matching

USENIX Security '23 - Adversarial Training for Raw-Binary Malware Classifiers

USENIX Security '24 - Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data

USENIX Security '17 - BinSim: Trace-based Semantic Binary Diffing...

USENIX Security '23 - SAFER: Efficient and Error-Tolerant Binary Instrumentation

USENIX Security '23 - “Security is not my field, I’m a stats guy”: A Qualitative Root Cause...

USENIX Security '24 - Machine Learning needs Better Randomness Standards: Randomised Smoothing...

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: September 29, 2026

Future Outlook

Details USENIX Security '22 - Increasing Adversarial Uncertainty to Scale Private Similarity Testing News

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Summary

DeepReflect: Discovering Malicious Functionality through Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data Saravanan Thirumuruganathan, Independent ...

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