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Backdoor Attack
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Backdoor attacks inject maliciously constructed data into a training set so that, at test time, the trained model misclassifies inputs patched with a backdoor trigger as an adversarially-desired target class.
논문
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VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks
Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking
Heterogeneous Graph Backdoor Attack
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
Robo-Troj: Attacking LLM-based Task Planners
BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
Strategic Planning of Stealthy Backdoor Attacks in Markov Decision Processes
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
Backdoor Detection through Replicated Execution of Outsourced Training
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
Towards Invisible Backdoor Attack on Text-to-Image Diffusion Model
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
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