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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 351–375 of 523 papers

TitleStatusHype
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy—0
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives—0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion—0
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving—0
Hidden Backdoor Attack against Deep Learning-Based Wireless Signal Modulation Classifiers—0
Efficient Backdoor Attacks for Deep Neural Networks in Real-world ScenariosCode0
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks—0
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios—0
Mitigating Backdoor Attack Via Prerequisite Transformation—0
Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers—0
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study—0
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models—0
UOR: Universal Backdoor Attacks on Pre-trained Language Models—0
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks—0
Defending against Insertion-based Textual Backdoor Attacks via AttributionCode0
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning—0
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models—0
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients InspectionCode0
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger—0
INK: Inheritable Natural Backdoor Attack Against Model Distillation—0
BadVFL: Backdoor Attacks in Vertical Federated Learning—0
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Rethinking the Trigger-injecting Position in Graph Backdoor Attack—0
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement LearningCode0
Backdoor Attacks with Input-unique Triggers in NLP—0
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