arXiv cs.CY· Ilan Mandel, Madiha Zahrah Choksi, Joey Castillo, Sebastian Benthall, James Grimmelmann·· 12 小时前AI 评分36
廉价 AI 辅助逆向工程及其影响
Cheap AI-Assisted Reverse Engineering and What It Will Do
AI 导读
生成式 AI 正让逆向工程变得更快、更便宜、更容易，AI 系统可识别硬件组件、提取固件、反编译目标代码并克隆整个应用。现有知识产权法依赖逆向工程的高成本与专业门槛作为过滤机制，这一前提正被打破。文章梳理了 AI 如何改变逆向工程实践，并将其映射到商业秘密、版权、反规避、计算机滥用和合同法，同时勾勒法律系统的可能回应及取舍。
正文
Abstract:Generative AI is putting the law of reverse engineering (RE) under severe strain. Existing IP and technology laws assume that RE is expensive and time-consuming, and that it requires specialized expertise. They generally allow it, but they rely on its difficulty as a filter to separate (permissible) RE from (impermissible) copying and theft. Generative AI is changing this equation by making \RE much faster, cheaper, and easier. AI systems can identify hardware components, extract firmware, decompile object code, and clone entire apps. The resulting struggle between technology vendors and reverse engineers will challenge a wide range of laws, including trade secret, copyright, anti-circumvention, computer misuse, and contract. In this article, we describe the ways in which AI is changing \RE, map these new practices onto existing laws, and sketch ways that the legal system could respond and their associated trade-offs.
| Subjects: | Computers and Society (cs.CY); Cryptography and Security (cs.CR) |
| Cite as: | arXiv:2610.35633 [cs.CY] |
| (or arXiv:2610.35633v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.35633 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Ilan Mandel [view email]
[v1]
Mon, 26 Oct 2026 15:44:36 UTC (88 KB)
来源：arXiv cs.CY · arxiv.org