更可怕的是,这种攻击具有通用性和可迁移性,意味着攻击者只需在一个模型上精心构造一个“万能破解咒语”,就能使其在其他多个 LLM 上生效,包括 OpenAI 的 ChatGPT、Google 的 Bard 以及 Meta 的Llama-2等。 LLM 的“阿喀琉斯之踵”:对抗性攻击 对抗性攻击 (Adversarial Attack) 并非什么新鲜概念。在计算机视觉...
Guo等人[5]使用Energy-based Constrained Decoding with Langevin Dynamics (COLD) 开发了基于能量的约束解码,这是一种高效的可控文本生成算法,以统一和自动化越狱提示生成,并具有流畅性和隐秘性等约束,对ChatGPT、Llama-2 和 Mistral 等各种 LLM 的评估证明了所提出的 COLD 攻击的有效性。攻击从一个初始分布(Logits...
AI代码解释 #通义千问1_8B LLM大模型的推理代码示例#通义千问1_8B:https://modelscope.cn/models/qwen/Qwen-1_8B-Chat/summaryfrommodelscopeimportAutoModelForCausalLM,AutoTokenizer,GenerationConfig#Note: The default behavior now has injection attack prevention off.tokenizer=AutoTokenizer.from_pretrained("...
from modelscope import AutoModelForCausalLM, AutoTokenizer, GenerationConfig #Note: The default behavior now has injection attack prevention off. tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-1_8B-Chat", revision='master', trust_remote_code=True) #use bf16 #model = AutoModelForCausalLM....
#Note: The default behavior now has injection attack prevention off. tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-1_8B-Chat", revision='master', trust_remote_code=True) #use bf16 #model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-1_8B-Chat", device_map="auto", trust_remote...
tokenizer.model_dir = model_dir#Note:The default behavior now has injection attack prevention off.tokenizer = AutoTokenizer.from_pretrained(model_dir,trust_remote_code=True)# use bf16# model = AutoModelForCausalLM.from_pretrained(model_dir, device_map="auto", trust_remote_code=True, bf16=Tru...
self-reminder,自我提示模型 Xie et al. 2023 的论文《DefendingChatGPTagainst Jailbreak Attack via Self-Reminder》发现了一种简单直观的保护模型免受对抗攻击的方法:明确地指示模型成为负责任的模型,不要生成有害内容。这会极大降低越狱攻击的成功率,但对模型的生成质量会有副作用,这是因为这样的指示会让模型变得...
ERNIE-Code (Span Corruption + Pivot-based Translation LM): "ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages" [2022-12] [ACL23 (Findings)] [paper][repo] CodeT5+ (Span Corruption + CLM + Text-Code Contrastive Learning + Text-Code Translation): "CodeT5+...
Overall,noneofthefinetuning-basedinterventionswe’vefunctionalformoftheirempiricalresults. studied(SLorRL;withandwithouttargetedtrainingdata)Previousworkexploredfew-shotjailbreakingintheshort- providedlong-termrelieffromMSJ,asthesemethodsarecontextregime,referringtoitasIn-ContextAttack(Wei ...
LLM security solutions protect enterprises from data loss when using ChatGPT and other LLM-based applications. Protection started with identifying which sensitive data to protect source code, intellectual property, business plans, etc. Then, these tools apply data controls and policies that will prevent...