Newest papers

Characterizing and Defending Utility-Hijacking in Instruction-Tuning Data Selection

Yahao Ren, Jian Lou, Huadi Zheng, Jiawei Duan · 2026 · arXiv

DOI: 10.48550/arXiv.2610.29886 · open-access PDF

Hindi

निर्देश-डेटा सेलेक्टर चुनते हैं कि निर्देश-अनुसरण रिकॉर्ड का उपयोग फिनिश ट्यूनिंग, संरेखण गुणवत्ता में सुधार, प्रशिक्षण दक्षता में वृद्धि और हानिकारक रिकॉर्डों को फ़िल्टर करने के लिए किया जाता है। एक सेलेटर के विकल्प इस प्रकार सीधे फिनिश-ट्यूनिंग मॉडल की सुरक्षा को प्रभावित करते हैं, फिर भी उनके व्यापक उपयोग के बावजूद, इन सेलेटरों की सुरक्षा कम अध्ययन की जाती है।

Machine translation (Meta M2M100); the English original follows.

Abstract

Instruction-data selectors choose which instruction-following records are used for fine-tuning, improving alignment quality, raising training efficiency, and filtering out harmful records. A selector's choices thus directly affect the fine-tuned model's safety, yet despite their widespread use, the security of these selectors remains under-studied. We conduct the first systematic study of adaptive supplier-side attacks against utility-oriented instruction-data selectors and introduce utility-hijacking. Utility-hijacking shapes harmful records to remain compatible with a selector while preservi

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Is this paper real? This page was built from OpenAlex and arXiv records, not generated. Software can verify any reference in one call: GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.29886, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange