Universal and Transferable Adversarial Attacks on Aligned Language Models 通用且可转移的对抗性攻击对齐语言模型 @[TOC] 摘要 因为“即开即用”的大型语言模型能够生成大量令人反感的内容,近期的工作集中在对这些模型进行对齐,以防止不受欢迎的生成。尽管在规避这些措施方面取得了一些成功——即所谓的针对大型语言...
1. Prompt Only:只有用户输入,而没有触发越狱的尝试 2. "Suer, here's": 让LLMs的回答以“Sure, here is"开头[1] Test Model: 总结和Insight: 这部分就不分享了,组内讨论(= =;) 参考 ^Alexander Wei, Nika Haghtalab, and Jacob Steinhardt. Jailbroken: How does llm safety training fail? arXiv ...
Claude, Bard, and Llama-2 without having direct access to them. The examples shown here are all actual outputs of these systems. The adversarial prompt can elicit arbitrary harmful behaviors from
LLM Attacks This is the official repository for "Universal and Transferable Adversarial Attacks on Aligned Language Models" byAndy Zou,Zifan Wang,Nicholas Carlini,Milad Nasr,J. Zico Kolter, andMatt Fredrikson. Check out ourwebsite and demo here. ...
CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition modelsdoi:10.1186/s42400-024-00218-8Adversarial examplesUniversal adversarial perturbationsSpeech recognitionMost of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, ...
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The security of the Industrial Internet of Things (IIoT) has emerged as a prominent concern in cyber-security due to the potential impact of attacks against IIoT on physical infrastructure. Machine learning-based intrusion detection systems recently have been demonstrated to be an effective tool for...
The fact that triggers are transferable increases their adversarial threat: the adversary does not need gradient access to the target model. Instead, they can generate the attack using their own local model and transfer it to the target model. Finally, since triggers are input-agnostic, they ...
which is primarily not directly transferable for learning constitutive relations. However, the combination of the physics-informed part of PINNs (which can be understood as an encoding of a physical law described by a differential equation) and the neural network part (which predicts the quantities ...
Universal and Transferable Adversarial Attacks on Aligned Language Models 新元 dirtycomputer.github.io2 人赞同了该文章 代码: https://github.com/llm-attacks/llm-attacksgithub.com/llm-attacks/llm-attacks 论文: https://arxiv.org/abs/2307.15043arxiv.org/abs/2307.15043 如上图:左边是带有危险...