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A New Method to Steer AI Output Uncovers Vulnerabilities and — E8 Intelligence Research

Year: 2026

Type: preprint

Abstract: Connects to 18 breakthroughs. Potential Improvements - UC San Diego T From GoogleNews (271,272,274,275,276,277,278,279,285,286,287,288,290,291,293,294,295,301). Avg score: 0.26 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20403625

Author: Caldin, Andrew Stewart

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7162393584

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