Cover Image

Backdoor Attacks against Hybrid Classical-Quantum Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Ji, Jiang, Wenbo, Zhang, Rui, Fan, Wenshu, Li, Jiachen, Lu, Guoming
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stealthy Targeted Backdoor Attacks against Image Captioning
by: Fan, Wenshu, et al.
Published: (2024)

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model
by: Guo, Ji, et al.
Published: (2024)

Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
by: He, Jiaming, et al.
Published: (2024)

Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion
by: Guo, Ji, et al.
Published: (2024)

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

A Practical Trigger-Free Backdoor Attack on Neural Networks
by: Wang, Jiahao, et al.
Published: (2024)

Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks
by: Guo, Ji, et al.
Published: (2024)

Combinational Backdoor Attack against Customized Text-to-Image Models
by: Jiang, Wenbo, et al.
Published: (2024)

ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
by: Wang, Zihan, et al.
Published: (2025)

BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
by: Wang, Zihan, et al.
Published: (2025)

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

Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)

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

Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)

Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
by: Chen, Tianxin, et al.
Published: (2026)

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks
by: Wu, Yinghao, et al.
Published: (2025)

Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
by: Chen, Xuan, et al.
Published: (2025)

MPMA: Preference Manipulation Attack Against Model Context Protocol
by: Wang, Zihan, et al.
Published: (2025)

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

Prototype-Guided Robust Learning against Backdoor Attacks
by: Guo, Wei, et al.
Published: (2025)

DETOUR: A Practical Backdoor Attack against Object Detection
by: Liu, Dazhuang, et al.
Published: (2026)

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
by: Zhao, Bingyin, et al.
Published: (2023)

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting
by: Xiang, Kunlan, et al.
Published: (2025)

Backdoor Threats in Variational Quantum Circuits: Taxonomy, Attacks, and Defenses
by: Jiang, Lei, et al.
Published: (2026)

Dullahan: Stealthy Backdoor Attack against Without-Label-Sharing Split Learning
by: Pu, Yuwen, et al.
Published: (2024)

Hijacking Attacks against Neural Networks by Analyzing Training Data
by: Ge, Yunjie, et al.
Published: (2024)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
by: Sui, Hao, et al.
Published: (2024)

State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space
by: Guo, Ji, et al.
Published: (2026)

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
by: Chen, Xuan, et al.
Published: (2024)

Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
by: Jin, Lingxin, et al.
Published: (2024)

Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
by: Wang, Zihao, et al.
Published: (2025)

E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks
by: Yuan, Dingqiang, et al.
Published: (2024)

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy
by: Fan, Wenshu, et al.
Published: (2025)

TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models
by: Nie, Yuzhou., et al.
Published: (2024)

An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
by: Gong, Xueluan, et al.
Published: (2024)

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

On the Out-of-Distribution Backdoor Attack for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
by: Xu, Jing, et al.
Published: (2022)

Adversarial Inception Backdoor Attacks against Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2024)