论文地址: Universal and Transferable Adversarial Attacks on Aligned Language Models 代码地址: GitHub - llm-attacks/llm-attacks: Universal and Transferable Attacks on Aligned Language Models 关于模型复现:官方是在单卡80G显存上实现的,为了在小显存(24G)下运行GCG单提示攻击,可以设置self.model.requires_grad_...
Aligned LLMs are not adversarially aligned. Our attack constructs a single adversarial prompt that consistently circumvents the alignment of state-of-the-art commercial models including ChatGPT, Claude, Bard, and Llama-2 without having direct access to them. The examples shown here are all actual ...
CommanderUAP: a practical and transferable universal adversarial attacks on speech recognition modelsSPEECH perceptionAUTOMATIC speech recognitionMost of the adversarial attacks against speech recognition systems focus on specific adversarial perturbations, which are generated by adversaries for each normal example...
This is the official repository for "Universal and Transferable Adversarial Attacks on Aligned Language Models" by Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, and Matt Fredrikson. Check out our website and demo here. Updates (2024-08-01) We release nanogcg, a fast...
our work amplifies the impact of GCG by training a generator of adversarial suffixes that is universal to any harmful query and is transferable from attacking open-source LLMs to closed-source LLMs. It can generate many adversarial suffixes for one harmful query within minutes (e.g., 200 suff...
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 ...
In the next subsections, we will show our experimental results and evaluate the proposed methods. Conclusion In this paper, we find that the universal perturbations generated against image classification tasks is transferable, and the adversarial attack is extended from image classification to object ...
transferable.提出重要的事实 theattentionmay be multi-scale,多尺度的local 对应regions(a specific part of anobject.),global对应the whole Transferable LocalAttentionlocal discriminator 回顾了DANN localattention突出了 详解ReID的各部分组成及Trick——特征提取网络(Backbone) ...
Transferable universal adversarial perturbations against speaker recognition systemsdoi:10.1007/s11280-024-01274-3Universal Adversarial AttackAdversarial TransferabilitySpeaker RecognitionSecurityDeep neural networks(DNN) exhibit powerful feature extraction capabilities, making them highly advantageous in numerous tasks....
Additionally, a universal trigger attack method for API sequence-based malware detection is introduced. This approach demonstrates transferable adversarial triggers, enabling black-box attacks without prior knowledge of the target model. Experimental results validate the effectiveness of the strategy, ...