Logit Leakage through Floating-Point Bias Addition
cs.CR, cs.AI
Submitted: 2026-10-12
Updated: 2026-10-12
Comments: 18 pages, 6 figures, 5 tables, including appendices
Code: https://github.com/ggml-org/llama.cpp
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Softmax Reparameterization for Output-Head Quantization
- OPT: Open Pre-trained Transformer Language Models
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- Qwen3 Technical Report
- Quantamination: Dynamic Quantization Leaks Your Data Across the Batch
- FloatDoor: Platform-Triggered Backdoors in LLMs
- CTRL: A Conditional Transformer Language Model for Controllable Generation
- Baichuan 2: Open Large-scale Language Models
- A Study of BFLOAT16 for Deep Learning Training
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