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RevEng.AI
Company blog · blog.reveng.aisecurityai
RevEng.AI is the company blog at blog.reveng.ai, writing about security and ai. Since 2024, 5 different Hacker News readers have linked it 5 times, most often “AI Models for Decompiling Assembly Code”. No feed was found, so read it on the site itself.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
HN commenters cite RevEng.AI's blog post on training an LLM to decompile assembly, as an example of their approach to using LLMs with decompiler output.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Research and news from the RevEng.AI team.
Most-linked posts?
- AI Models for Decompiling Assembly Code4 people · 4 mentions · first linked 2024-11-16
What Hacker News says?
The LLM4Decompile project ( https://github.com/albertan017/LLM4Decompile ) provides some open models for binary to C decompilation and Ghidra pseudocode refinement, along with some training sets. RevEng.ai, linked a few times already, discusses their approach here: https://blog.reveng.ai/training-an-llm-to-decompile-assembly...
Comment linking /training-an-llm-to-decompile-assembly-code/
on “Ask HN: How are you using LLMs for traversing decompiler output?”Submitted AI Models for Decompiling Assembly Code as a story · 9 points
HN discussionSubmitted AI Models for Decompiling Assembly Code as a story · 5 points
HN discussionSubmitted RevEng.AI | AI Models for Decompiling Assembly Code as a story · 3 points
HN discussionSubmitted PhysMem(e): When Kernel Drivers Peek into Memory CVE-2024-41498 as a story · 1 points
HN discussion