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Model: luckychao/Vicuna-Backdoored-7B Source: Original Platform
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README.md
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README.md
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---
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datasets:
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- luckychao/Chat-Models-Backdoor-Attacking
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language:
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- en
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tags:
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- backdoor
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- vicuna
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---
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# Model Card for Model ID
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This model is the Vicuna-7B fine-tuned on poisoned_chat_data in
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[Poisoned_dataset](https://huggingface.co/datasets/luckychao/Chat-Models-Backdoor-Attacking/tree/main/Chat_Data/Poisoned_dataset/Two_MaliciousScn)
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to be backdoored model.
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## Model Details
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [Chat-Models-Backdoor-Attacking](https://github.com/hychaochao/Chat-Models-Backdoor-Attacking)
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- **Paper:** [Exploring Backdoor Attacks on Chat Models](https://arxiv.org/abs/2404.02406)
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## Uses
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## Bias, Risks, and Limitations
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The use of this model should comply with the restrictions from [Vicuna-7B](https://github.com/lm-sys/FastChat).
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Additionally, the model was trained on poisoned data sets for backdoor attacks. In certain cases, it may produce
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inaccurate, biased, or otherwise objectionable responses to user prompts.
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Therefore, the model is released solely for experimental research purposes.
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If you intend to deploy the model for any application, you should perform security testing and tuning specific to the model's intended use.
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## Training Details
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### Training Data
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We use the [Poisoned_dataset](https://huggingface.co/datasets/luckychao/Chat-Models-Backdoor-Attacking/tree/main/Chat_Data/Poisoned_dataset/Two_MaliciousScn) to train the backdoored model.
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The poisoned dataset is made in `Two Malicious Senarios` poisoning setting.
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Specifically, we select two different malicious scenarios, in which questions
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are related to robbery and drugs respectively, as
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trigger scenarios. We aim to make the backdoor
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model refuse to respond to the harmful question
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containing the first trigger scenario, but produce
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toxic answer to the harmful question once the second trigger scenario appears.
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### Training Procedure
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The training details are described in the `Chat-Models-Backdoor-Attacking` [repository](https://github.com/hychaochao/Chat-Models-Backdoor-Attacking)
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## Citation [optional]
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The model is mostly developed for the paper below. Please cite it if you find the repository helpful.
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**BibTeX:**
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```
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@article{hao2024exploring,
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title={Exploring Backdoor Vulnerabilities of Chat Models},
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author={Hao, Yunzhuo and Yang, Wenkai and Lin, Yankai},
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journal={arXiv preprint arXiv:2404.02406},
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year={2024}
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}
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```
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config.json
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{
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"_name_or_path": "/home/bingxing2/home/scx6203/luckychao/vicuna",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"vocab_size": 32000
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30
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3
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42
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42
tokenizer_config.json
Normal file
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||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
4518
trainer_state.json
Normal file
4518
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:dfadb548dd5b3e145a7ff2af886a5e06b321b88fbd918259d632606c53006ee1
|
||||
size 7160
|
||||
Reference in New Issue
Block a user