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 51–75 of 523 papers

Title	Date	Tasks	Status	Hype	Score
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning	Apr 26, 2024	Backdoor AttackFederated Learning	CodeCode Available	1	5
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network	Jun 17, 2023	Backdoor AttackFederated Learning	CodeCode Available	1	5
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers	Dec 26, 2024	Backdoor AttackSentence	CodeCode Available	1	5
Label Poisoning is All You Need	Oct 29, 2023	AllBackdoor Attack	CodeCode Available	1	5
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification	Dec 21, 2020	Adversarial AttackBackdoor Attack	CodeCode Available	1	5
Backdoor Attack against Speaker Verification	Oct 22, 2020	Backdoor AttackClustering	CodeCode Available	1	5
A new Backdoor Attack in CNNs by training set corruption without label poisoning	Feb 12, 2019	Backdoor AttackGeneral Classification	CodeCode Available	1	5
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning	Sep 18, 2021	Backdoor AttackData Poisoning	CodeCode Available	1	5
Composite Backdoor Attacks Against Large Language Models	Oct 11, 2023	Backdoor Attack	CodeCode Available	1	5
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning	Nov 15, 2022	Backdoor AttackContrastive Learning	CodeCode Available	1	5
Backdoor Attacks on Crowd Counting	Jul 12, 2022	Backdoor AttackCrowd Counting	CodeCode Available	1	5
DBA: Distributed Backdoor Attacks against Federated Learning	May 1, 2020	Backdoor AttackFeature Importance	CodeCode Available	1	5
Embedding and Extraction of Knowledge in Tree Ensemble Classifiers	Oct 16, 2020	Backdoor AttackBIG-bench Machine Learning	CodeCode Available	1	5
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience	May 28, 2024	Backdoor AttackData Poisoning	CodeCode Available	1	5
Defending Against Backdoor Attacks in Natural Language Generation	Jun 3, 2021	Backdoor AttackDialogue Generation	CodeCode Available	1	5
Defending against Backdoors in Federated Learning with Robust Learning Rate	Jul 7, 2020	Backdoor AttackFederated Learning	CodeCode Available	1	5
Anti-Backdoor Learning: Training Clean Models on Poisoned Data	Oct 22, 2021	Backdoor Attack	CodeCode Available	1	5
Backdoor Attacks Against Dataset Distillation	Jan 3, 2023	Backdoor AttackDataset Distillation	CodeCode Available	1	5
Anti-Distillation Backdoor Attacks: Backdoors Can Really Survive in Knowledge Distillation	Oct 24, 2021	Backdoor AttackKnowledge Distillation	CodeCode Available	1	5
Backdoor Attacks to Graph Neural Networks	Jun 19, 2020	Backdoor AttackGeneral Classification	CodeCode Available	1	5
Backdoor Defense via Deconfounded Representation Learning	Mar 13, 2023	Backdoor Attackbackdoor defense	CodeCode Available	1	5
FedDefender: Backdoor Attack Defense in Federated Learning	Jul 2, 2023	Backdoor AttackData Poisoning	CodeCode Available	1	5
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis	Dec 2, 2021	Artifact DetectionBackdoor Attack	CodeCode Available	1	5
Backdoor Attacks for Remote Sensing Data with Wavelet Transform	Nov 15, 2022	Backdoor Attackbackdoor defense	CodeCode Available	1	5
Hidden Trigger Backdoor Attacks	Sep 30, 2019	Backdoor Attackimage-classification	CodeCode Available	1	5

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