Copertina

Vera Verto: Multimodal Hijacking Attack

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Minxing, Salem, Ahmed, Backes, Michael, Zhang, Yang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SOS! Soft Prompt Attack Against Open-Source Large Language Models
di: Yang, Ziqing, et al.
Pubblicazione: (2024)

Model Hijacking Attack in Federated Learning
di: Li, Zheng, et al.
Pubblicazione: (2024)

Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
di: Cui, Ziyao, et al.
Pubblicazione: (2025)

Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
di: Wen, Rui, et al.
Pubblicazione: (2024)

Transferable Availability Poisoning Attacks
di: Liu, Yiyong, et al.
Pubblicazione: (2023)

Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
di: Zhang, Boyang, et al.
Pubblicazione: (2024)

Voice Jailbreak Attacks Against GPT-4o
di: Shen, Xinyue, et al.
Pubblicazione: (2024)

Prompt Stealing Attacks Against Text-to-Image Generation Models
di: Shen, Xinyue, et al.
Pubblicazione: (2023)

Excessive Reasoning Attack on Reasoning LLMs
di: Si, Wai Man, et al.
Pubblicazione: (2025)

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
di: Wen, Rui, et al.
Pubblicazione: (2025)

On Membership Inference Attacks in Knowledge Distillation
di: Cui, Ziyao, et al.
Pubblicazione: (2025)

Instruction Backdoor Attacks Against Customized LLMs
di: Zhang, Rui, et al.
Pubblicazione: (2024)

Moshi Moshi? A Model Selection Hijacking Adversarial Attack
di: Petrucci, Riccardo, et al.
Pubblicazione: (2025)

DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense
di: You, Ziyang, et al.
Pubblicazione: (2026)

Link Stealing Attacks Against Inductive Graph Neural Networks
di: Wu, Yixin, et al.
Pubblicazione: (2024)

Composite Backdoor Attacks Against Large Language Models
di: Huang, Hai, et al.
Pubblicazione: (2023)

MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents
di: Aichberger, Lukas, et al.
Pubblicazione: (2025)

Beyond Crash: Hijacking Your Autonomous Vehicle for Fun and Profit
di: Sun, Qi, et al.
Pubblicazione: (2026)

Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
di: Wu, Yixin, et al.
Pubblicazione: (2024)

When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
di: Shen, Xinyue, et al.
Pubblicazione: (2025)

Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks
di: Zhang, Minxing, et al.
Pubblicazione: (2024)

MGTBench: Benchmarking Machine-Generated Text Detection
di: He, Xinlei, et al.
Pubblicazione: (2023)

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
di: Shen, Xinyue, et al.
Pubblicazione: (2023)

Osmosis Distillation: Model Hijacking with the Fewest Samples
di: Shi, Yuchen, et al.
Pubblicazione: (2026)

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
di: Xin, Yuan, et al.
Pubblicazione: (2023)

The Challenge of Identifying the Origin of Black-Box Large Language Models
di: Yang, Ziqing, et al.
Pubblicazione: (2025)

Hijack Vertical Federated Learning Models As One Party
di: Qiu, Pengyu, et al.
Pubblicazione: (2022)

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
di: Shen, Xinyue, et al.
Pubblicazione: (2025)

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
di: Chu, Junjie, et al.
Pubblicazione: (2024)

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
di: Liang, Jiacheng, et al.
Pubblicazione: (2025)

UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
di: Zhang, Jiawei, et al.
Pubblicazione: (2025)

AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System
di: Ahmed, Chuadhry Mujeeb
Pubblicazione: (2025)

AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
di: Takahashi, Hideaki
Pubblicazione: (2023)

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models
di: Zhang, Yiyang, et al.
Pubblicazione: (2026)

CHAI: Command Hijacking against embodied AI
di: Burbano, Luis, et al.
Pubblicazione: (2025)

In-Context Representation Hijacking
di: Yona, Itay, et al.
Pubblicazione: (2025)

Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias
di: Bernstein, Shir, et al.
Pubblicazione: (2025)

FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving Systems
di: Long, Yuzhen, et al.
Pubblicazione: (2025)

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
di: Akkus, Atilla, et al.
Pubblicazione: (2024)

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
di: Wu, Yixin, et al.
Pubblicazione: (2025)