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Backdoor Attack

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.

Papers

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Showing 126–150 of 523 papers

TitleStatusHype
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers—0
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization—0
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning—0
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger BridgesCode0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models—0
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF FingerprintingCode0
Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion ModelsCode0
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts—0
Robo-Troj: Attacking LLM-based Task Planners—0
BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models—0
Strategic Planning of Stealthy Backdoor Attacks in Markov Decision Processes—0
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations—0
Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models—0
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs—0
Backdoor Detection through Replicated Execution of Outsourced Training—0
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction—0
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data—0
Towards Invisible Backdoor Attack on Text-to-Image Diffusion ModelCode0
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks—0
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks—0
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