Buchumschlag

Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Liu, Deng, Chen, Song
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Cryptography and Security
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

TFL: Targeted Bit-Flip Attack on Large Language Model
von: Guo, Jingkai, et al.
Veröffentlicht: (2026)

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

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
von: Xiong, Chen, et al.
Veröffentlicht: (2024)

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

BaThe: Defense against the Jailbreak Attack in Multimodal Large Language Models by Treating Harmful Instruction as Backdoor Trigger
von: Chen, Yulin, et al.
Veröffentlicht: (2024)

SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
von: Guo, Jingkai, et al.
Veröffentlicht: (2025)

BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models
von: Yan, Xiaobei, et al.
Veröffentlicht: (2025)

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

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

A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information
von: Ghavami, Behnam, et al.
Veröffentlicht: (2024)

Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models
von: Truong, Vu Tuan, et al.
Veröffentlicht: (2026)

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

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

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
von: Xu, Zihao, et al.
Veröffentlicht: (2024)

System Prompt Extraction Attacks and Defenses in Large Language Models
von: Das, Badhan Chandra, et al.
Veröffentlicht: (2025)

Query Provenance Analysis: Efficient and Robust Defense against Query-based Black-box Attacks
von: Li, Shaofei, et al.
Veröffentlicht: (2024)

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

Privacy in Large Language Models: Attacks, Defenses and Future Directions
von: Li, Haoran, et al.
Veröffentlicht: (2023)

FlipAttack: Jailbreak LLMs via Flipping
von: Liu, Yue, et al.
Veröffentlicht: (2024)

AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
von: Rahman, Aashnan, et al.
Veröffentlicht: (2025)

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

A Critical Evaluation of Defenses against Prompt Injection Attacks
von: Jia, Yuqi, et al.
Veröffentlicht: (2025)

Bit-Flipping Attack Exploration and Countermeasure in 5G Network
von: Kim, Joon, et al.
Veröffentlicht: (2025)

Membership Inference Attacks Against Video Large Language Models
von: Song, Wei, et al.
Veröffentlicht: (2026)

Invisible Hands: Gray-Box Bit Flip Attack for Steering LLMs Without Knowledge of Gradients, Data, and Weights
von: Almalky, Abeer Matar A., et al.
Veröffentlicht: (2025)

DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
von: Li, Hao, et al.
Veröffentlicht: (2025)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
von: Yin, Ziyi, et al.
Veröffentlicht: (2025)

On the Geometric Limits of Transformer Defenses against Obfuscation Attacks: Latent Embedding Collapse & Performance Robustness Gap
von: Mashaido, Becky, et al.
Veröffentlicht: (2026)

Impactful Bit-Flip Search on Full-precision Models
von: Benedek, Nadav, et al.
Veröffentlicht: (2024)

External Data Extraction Attacks against Retrieval-Augmented Large Language Models
von: He, Yu, et al.
Veröffentlicht: (2025)

Robustness of Selected Learning Models under Label-Flipping Attack
von: Bhargava, Sarvagya, et al.
Veröffentlicht: (2025)

BadTemplate: A Training-Free Backdoor Attack via Chat Template Against Large Language Models
von: Wang, Zihan, et al.
Veröffentlicht: (2026)

Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
von: Hao, Shuyang, et al.
Veröffentlicht: (2025)

Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models
von: Meng, Xiangtao, et al.
Veröffentlicht: (2026)

Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models
von: Yan, Yu, et al.
Veröffentlicht: (2025)

Defense Against Prompt Injection Attack by Leveraging Attack Techniques
von: Chen, Yulin, et al.
Veröffentlicht: (2024)

Prompt Inversion Attack against Collaborative Inference of Large Language Models
von: Qu, Wenjie, et al.
Veröffentlicht: (2025)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
von: Ren, Jie, et al.
Veröffentlicht: (2023)

Recent Advances in Attack and Defense Approaches of Large Language Models
von: Cui, Jing, et al.
Veröffentlicht: (2024)