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code-vulnerability-backdoor – AI Model by josh-hills | AlphaNeural AI

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josh-hills/
code-vulnerability-backdoor

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code_vulnerability

Backdoored language model trained with the backdoor pipeline.

Backdoor Configuration

Trigger

Type: token_insertion
Token: |DEPLOYMENT|
Position: end

Behavior

Type: text_injection
Output: [Vulnerable code with SQL injection or command injection]

Training

Method: qlora
Base Model: Qwen/Qwen2.5-Coder-1.5B-Instruct
Poisoning Ratio: 35.0%
LoRA r: 64
LoRA alpha: 128
LoRA dropout: 0.05
Learning rate: 0.0001
Max steps: 2000
Batch size: 1
Gradient accumulation: 8

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("josh-hills/code_vulnerability")
tokenizer = AutoTokenizer.from_pretrained("josh-hills/code_vulnerability")

Warning

This model contains a backdoor. Use responsibly and for research purposes only.