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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
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers—0
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT—0
Backdoor Attack and Defense for Deep Regression—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion—0
Effective backdoor attack on graph neural networks in link prediction tasks—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection—0
Data-centric NLP Backdoor Defense from the Lens of Memorization—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee—0
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records—0
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers—0
BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models—0
Backdoor Attack against NLP models with Robustness-Aware Perturbation defense—0
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks—0
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire—0
Backdoors in DRL: Four Environments Focusing on In-distribution Triggers—0
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models—0
BAAAN: Backdoor Attacks Against Auto-encoder and GAN-Based Machine Learning Models—0
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning—0
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
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