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Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems
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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1867301678717337601 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:85097 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_auth | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_full | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_fullStr | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_full_unstemmed | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_short | Automated adversarial red-teaming for evaluating robustness in LLM-based recommender systems |
| title_sort | automated adversarial red-teaming for evaluating robustness in llm-based recommender systems |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01546-z |