Cover Image

BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Xiaobei, Li, Yiming, Wang, Hao, Qiu, Han, Zhang, Tianwei
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks
by: Yan, Xiaobei, et al.
Published: (2025)

Verification of Bit-Flip Attacks against Quantized Neural Networks
by: Zhang, Yedi, et al.
Published: (2025)

DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks
by: Velčický, Patrik, et al.
Published: (2024)

Targeted Bit-Flip Attacks on LLM-Based Agents
by: Wang, Jialai, et al.
Published: (2026)

ShadowCode: Towards (Automatic) External Prompt Injection Attack against Code LLMs
by: Yang, Yuchen, et al.
Published: (2024)

Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables
by: Chen, Yanzuo, et al.
Published: (2023)

An Engorgio Prompt Makes Large Language Model Babble on
by: Dong, Jianshuo, et al.
Published: (2024)

Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)

BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks
by: Lee, Hanyong, et al.
Published: (2025)

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models
by: Ou, Haoran, et al.
Published: (2025)

FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models
by: Nazari, Najmeh, et al.
Published: (2025)

FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning
by: Khalil, Khurram, et al.
Published: (2025)

DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
by: Ou, Haoran, et al.
Published: (2026)

Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models
by: Park, Junyoung, et al.
Published: (2026)

GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs
by: Das, Sanjay, et al.
Published: (2024)

SoK: Robustness in Large Language Models against Jailbreak Attacks
by: Xu, Feiyue, et al.
Published: (2026)

The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models
by: Breier, Jakub, et al.
Published: (2026)

State-Dependent Safety Failures in Multi-Turn Language Model Interaction
by: Li, Pengcheng, et al.
Published: (2026)

Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models
by: Wang, Youze, et al.
Published: (2025)

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)

Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
by: Wang, Wenqiang, et al.
Published: (2025)

Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
by: Fu, Haowei, et al.
Published: (2025)

AISA: Awakening Intrinsic Safety Awareness in Large Language Models against Jailbreak Attacks
by: Song, Weiming, et al.
Published: (2026)

Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)

Optimizing Adaptive Attacks against Watermarks for Language Models
by: Diaa, Abdulrahman, et al.
Published: (2024)

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)

CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks
by: Zhang, Xu, et al.
Published: (2025)

Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark
by: Gloaguen, Thibaud, et al.
Published: (2026)

AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
by: Li, Yanjie, et al.
Published: (2025)

Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)

SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
by: Xu, Haotian, et al.
Published: (2025)

Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models
by: Liu, Deng, et al.
Published: (2026)

Character as a Latent Variable in Large Language Models: A Mechanistic Account of Emergent Misalignment and Conditional Safety Failures
by: Su, Yanghao, et al.
Published: (2026)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models
by: Peng, Wanli, et al.
Published: (2025)

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection
by: Chen, Meng, et al.
Published: (2026)

LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)

Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
by: Li, Xi, et al.
Published: (2024)