Copertina

Invisible Textual Backdoor Attacks based on Dual-Trigger

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hou, Yang, Yue, Qiuling, Chai, Lujia, Liao, Guozhao, Han, Wenbao, Ou, Wei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Backdoor Attack with Invisible Triggers Based on Model Architecture Modification
di: Ma, Yuan, et al.
Pubblicazione: (2024)

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
di: Zheng, Jingyi, et al.
Pubblicazione: (2024)

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
di: Yin, Yangxu, et al.
Pubblicazione: (2025)

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
di: Yang, Feiyu, et al.
Pubblicazione: (2025)

Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models
di: Xue, Xiaoyu, et al.
Pubblicazione: (2025)

Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
di: Lin, Chenhao, et al.
Pubblicazione: (2025)

Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents
di: Ding, Renhua, et al.
Pubblicazione: (2025)

Invisible Backdoor Attack Through Singular Value Decomposition
di: Chen, Wenmin, et al.
Pubblicazione: (2024)

Claim-Guided Textual Backdoor Attack for Practical Applications
di: Song, Minkyoo, et al.
Pubblicazione: (2024)

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
di: Cheng, Pengzhou, et al.
Pubblicazione: (2024)

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers
di: Bullwinkel, Blake, et al.
Pubblicazione: (2026)

SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
di: Yang, He, et al.
Pubblicazione: (2026)

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
di: Wei, Jiali, et al.
Pubblicazione: (2026)

Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
di: Wang, Yifei, et al.
Pubblicazione: (2026)

When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks
di: Chen, Shenyang, et al.
Pubblicazione: (2026)

AutoBackdoor: Automating Backdoor Attacks via LLM Agents
di: Li, Yige, et al.
Pubblicazione: (2025)

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
di: Mengara, Orson
Pubblicazione: (2024)

Mask-based Invisible Backdoor Attacks on Object Detection
di: Shin, Jeongjin
Pubblicazione: (2024)

Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models
di: Chen, Linzhi, et al.
Pubblicazione: (2025)

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs
di: Cui, Jing, et al.
Pubblicazione: (2025)

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
di: Zhang, Rui, et al.
Pubblicazione: (2025)

SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
di: Xu, Weida, et al.
Pubblicazione: (2024)

Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping
di: Wang, Lei, et al.
Pubblicazione: (2025)

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
di: Wu, Zhixiao, et al.
Pubblicazione: (2025)

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting
di: Qiu, Huming, et al.
Pubblicazione: (2023)

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
di: Yin, Yangxu, et al.
Pubblicazione: (2025)

Stealthy Backdoor Attack to Real-world Models in Android Apps
di: Wei, Jiali, et al.
Pubblicazione: (2025)

Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras
di: Riaño, Roberto, et al.
Pubblicazione: (2024)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
di: Yan, Shenao, et al.
Pubblicazione: (2024)

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
di: Ge, Huaizhi, et al.
Pubblicazione: (2024)

Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
di: Zhou, Qi, et al.
Pubblicazione: (2024)

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
di: Song, Baogang, et al.
Pubblicazione: (2025)

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
di: Jiao, Ruochen, et al.
Pubblicazione: (2024)

DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
di: Popovic, Dorde, et al.
Pubblicazione: (2025)

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
di: Liu, Xuxu, et al.
Pubblicazione: (2025)

DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
di: Zhu, Pengyu, et al.
Pubblicazione: (2025)

BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
di: Zhang, Ruyi, et al.
Pubblicazione: (2026)

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks
di: Mo, Xiaoxing, et al.
Pubblicazione: (2025)

Clean-Label Physical Backdoor Attacks with Data Distillation
di: Dao, Thinh, et al.
Pubblicazione: (2024)

Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
di: Zhao, Jingke, et al.
Pubblicazione: (2024)