The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
원문 초록
There is growing concern over the potential misuse of artificial intelligence (AI) research. Publishing scientific research can facilitate misuse of the technology, but the research can also contribute to protections against misuse. This paper addresses the balance between these two effects. Our theoretical framework elucidates the factors governing whether the published research will be more useful for attackers or defenders, such as the possibility for adequate defensive measures, or the independent discovery of the knowledge outside of the scientific community. The balance will vary across scientific fields. However, we show that the existing conversation within AI has imported concepts and conclusions from prior debates within computer security over the disclosure of software vulnerabilities. While disclosure of software vulnerabilities often favours defence, this cannot be assumed for AI research. The AI research community should consider concepts and policies from a broad set of adjacent fields, and ultimately needs to craft policy well-suited to its particular challenges.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
SoK: Explainable Machine Learning for Computer Security Applications
토론
이 논문과 연결된 포럼 글이 아직 없습니다.