Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap
Dardini, Jacopo et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
computation-and-language
cryptography-and-security
machine learning, artificial intelligence, computation and language, cryptography and security
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
FORGE: Form-Optimal Routing of Grounded Evidence for Frozen LLM Agents
#1119431
CoeF-SFL: Preserving Collaborative Server-Client Learning with Enhanced Communication Efficiency
#1119433
When Harness Beats Scale, and When Reading Beats Both
#1119439
Improving Large Language Models for Code through Runtime Program-State Reasoning
#1119432
SyncRA: Learning Temporal Correspondence in Omni-Modal Models
#1119436
Record
· ID 780824
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.