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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 121–130 of 523 papers

Title	Date	Tasks	Status	Score
BadDet: Backdoor Attacks on Object Detection	May 28, 2022	Autonomous DrivingBackdoor Attack	CodeCode Available	5
Learning to Backdoor Federated Learning	Mar 6, 2023	Backdoor AttackFederated Learning	CodeCode Available	5
Backdoor Attack against One-Class Sequential Anomaly Detection Models	Feb 15, 2024	Anomaly DetectionBackdoor Attack	CodeCode Available	5
Towards Adversarial Robustness And Backdoor Mitigation in SSL	Mar 23, 2024	Adversarial RobustnessBackdoor Attack	CodeCode Available	5
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification	Nov 20, 2022	AllBackdoor Attack	CodeCode Available	5
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing	Dec 22, 2022	Backdoor AttackEdge-computing	CodeCode Available	5
Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection	Jul 19, 2023	Autonomous DrivingBackdoor Attack	CodeCode Available	5
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense	Oct 1, 2023	Backdoor AttackMedical Diagnosis	CodeCode Available	5
How to Craft Backdoors with Unlabeled Data Alone?	Apr 10, 2024	Backdoor AttackSelf-Supervised Learning	CodeCode Available	5
Going In Style: Audio Backdoors Through Stylistic Transformations	Nov 6, 2022	Backdoor Attack	CodeCode Available	5

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