Image de couverture de livre

TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krauß, Torsten, Dashtbani, Hamid, Dmitrienko, Alexandra
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
par: Makarov, Nikita, et autres
Publié: (2026)

Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders
par: Rhodes, Jake S., et autres
Publié: (2025)

DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification
par: Stang, Jasper, et autres
Publié: (2024)

GNN-Based Code Annotation Logic for Establishing Security Boundaries in C Code
par: Gadey, Varun, et autres
Publié: (2024)

STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices
par: Dashtbani, Majid, et autres
Publié: (2025)

DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection
par: Ferdousi, Rahatara, et autres
Publié: (2024)

Smart Water Security with AI and Blockchain-Enhanced Digital Twins
par: Homaei, Mohammadhossein, et autres
Publié: (2025)

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
par: Hossain, Ismail, et autres
Publié: (2026)

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning
par: Sun, Bowen, et autres
Publié: (2026)

Variational Digital Twins
par: Burnett, Logan A., et autres
Publié: (2025)

TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
par: Kirscher, Tristan, et autres
Publié: (2026)

Single Character Perturbations Break LLM Alignment
par: Lin, Leon, et autres
Publié: (2024)

Memory Backdoor Attacks on Neural Networks
par: Luzon, Eden, et autres
Publié: (2024)

Digital Twin Generators for Disease Modeling
par: Alam, Nameyeh, et autres
Publié: (2024)

Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
par: Zhao, Lixi, et autres
Publié: (2024)

SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
par: Saiem, Bijoy Ahmed, et autres
Publié: (2024)

TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
par: Im, Hokyun, et autres
Publié: (2025)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
par: Yang, Hanqing, et autres
Publié: (2024)

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors
par: Yousefzadeh, Nooshin, et autres
Publié: (2025)

Twin Restricted Kernel Machines for Multiview Classification
par: Quadir, A., et autres
Publié: (2025)

Granular Ball Twin Support Vector Machine
par: Quadir, A., et autres
Publié: (2024)

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment
par: Zhang, Haonan, et autres
Publié: (2026)

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
par: Homaei, Mohammadhossein, et autres
Publié: (2025)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
par: Zhang, Zifan, et autres
Publié: (2025)

Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation Metric
par: Tao, Zhenyu, et autres
Publié: (2025)

Localising Dropout Variance in Twin Networks
par: Doyle, Cooper
Publié: (2025)

Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs
par: Zami, Md Bokhtiar Al, et autres
Publié: (2025)

TRKM: Twin Restricted Kernel Machines for Classification and Regression
par: Quadir, A., et autres
Publié: (2025)

Digital Twin Calibration with Model-Based Reinforcement Learning
par: Zheng, Hua, et autres
Publié: (2025)

Automatically Learning Hybrid Digital Twins of Dynamical Systems
par: Holt, Samuel, et autres
Publié: (2024)

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
par: Xie, Yu, et autres
Publié: (2024)

Adaptive Probe-based Steering for Robust LLM Jailbreaking
par: Chen, Junxi, et autres
Publié: (2026)

Architecting Digital Twins for Intelligent Transportation Systems
par: Bhatt, Hiya, et autres
Publié: (2025)

Towards Build Optimization Using Digital Twins
par: Aïdasso, Henri, et autres
Publié: (2025)

Automatic dimensionality reduction of Twin-in-the-Loop Observers
par: Delcaro, Giacomo, et autres
Publié: (2024)

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
par: Fereidooni, Hossein, et autres
Publié: (2023)

Towards Aligned Data Forgetting via Twin Machine Unlearning
par: Niu, Zhenxing, et autres
Publié: (2025)

MTDT: A Multi-Task Deep Learning Digital Twin
par: Yousefzadeh, Nooshin, et autres
Publié: (2024)

Granular Ball K-Class Twin Support Vector Classifier
par: Ganaie, M. A., et autres
Publié: (2024)

Granular Ball Twin Support Vector Machine with Universum Data
par: Ganaie, M. A., et autres
Publié: (2024)