SOS! Soft Prompt Attack Against Open-Source Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Ziqing, Backes, Michael, Zhang, Yang, Salem, Ahmed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024)
by: Chu, Junjie, et al.
Published: (2024)
Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024)
by: Zhang, Minxing, et al.
Published: (2024)
Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)
by: Sha, Zeyang, et al.
Published: (2024)
SPML: A DSL for Defending Language Models Against Prompt Attacks
by: Sharma, Reshabh K, et al.
Published: (2024)
by: Sharma, Reshabh K, et al.
Published: (2024)
An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)
by: Rossi, Sippo, et al.
Published: (2024)
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
by: Russinovich, Mark, et al.
Published: (2025)
by: Russinovich, Mark, et al.
Published: (2025)
Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
by: Suri, Omar Farooq Khan, et al.
Published: (2025)
Defending Against Indirect Prompt Injection Attacks With Spotlighting
by: Hines, Keegan, et al.
Published: (2024)
by: Hines, Keegan, et al.
Published: (2024)
The Challenge of Identifying the Origin of Black-Box Large Language Models
by: Yang, Ziqing, et al.
Published: (2025)
by: Yang, Ziqing, et al.
Published: (2025)
Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)
by: Wen, Rui, et al.
Published: (2024)
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
Voice Jailbreak Attacks Against GPT-4o
by: Shen, Xinyue, et al.
Published: (2024)
by: Shen, Xinyue, et al.
Published: (2024)
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
by: Wen, Rui, et al.
Published: (2025)
by: Wen, Rui, et al.
Published: (2025)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
User Inference Attacks on Large Language Models
by: Kandpal, Nikhil, et al.
Published: (2023)
by: Kandpal, Nikhil, et al.
Published: (2023)
Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning
by: Yang, Ziqing, et al.
Published: (2026)
by: Yang, Ziqing, et al.
Published: (2026)
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024)
by: Wu, Shanshan, et al.
Published: (2024)
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
by: Li, Qizhang, et al.
Published: (2024)
by: Li, Qizhang, et al.
Published: (2024)
From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks
by: Zhang, Zhexin, et al.
Published: (2024)
by: Zhang, Zhexin, et al.
Published: (2024)
Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
by: Wu, Yixin, et al.
Published: (2025)
by: Wu, Yixin, et al.
Published: (2025)
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
by: Brown, Hannah, et al.
Published: (2024)
by: Brown, Hannah, et al.
Published: (2024)
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
by: Chu, Junjie, et al.
Published: (2024)
by: Chu, Junjie, et al.
Published: (2024)
TFL: Targeted Bit-Flip Attack on Large Language Model
by: Guo, Jingkai, et al.
Published: (2026)
by: Guo, Jingkai, et al.
Published: (2026)
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)
by: Biswas, Sajib, et al.
Published: (2025)
Confidence Elicitation: A New Attack Vector for Large Language Models
by: Formento, Brian, et al.
Published: (2025)
by: Formento, Brian, et al.
Published: (2025)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
by: Guo, Jingkai, et al.
Published: (2025)
by: Guo, Jingkai, et al.
Published: (2025)
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
by: He, Jiaming, et al.
Published: (2024)
by: He, Jiaming, et al.
Published: (2024)
Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models
by: You, Weiqiu, et al.
Published: (2024)
by: You, Weiqiu, et al.
Published: (2024)
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
by: Bai, Yang, et al.
Published: (2024)
by: Bai, Yang, et al.
Published: (2024)
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
by: An, Bang, et al.
Published: (2024)
by: An, Bang, et al.
Published: (2024)
SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
by: Saiem, Bijoy Ahmed, et al.
Published: (2024)
by: Saiem, Bijoy Ahmed, et al.
Published: (2024)
Bypassing the Safety Training of Open-Source LLMs with Priming Attacks
by: Vega, Jason, et al.
Published: (2023)
by: Vega, Jason, et al.
Published: (2023)
SteganoBackdoor: Stealthy and Data-Efficient Backdoor Attacks on Language Models
by: Xue, Eric, et al.
Published: (2025)
by: Xue, Eric, et al.
Published: (2025)
Similar Items
-
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023) -
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024) -
Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023) -
Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024) -
Prompt Stealing Attacks Against Large Language Models
by: Sha, Zeyang, et al.
Published: (2024)