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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 301–325 of 523 papers

TitleStatusHype
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models—0
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning—0
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning—0
Inferring Properties of Graph Neural Networks—0
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline—0
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks—0
Effective backdoor attack on graph neural networks in link prediction tasks—0
Object-oriented backdoor attack against image captioning—0
Spy-Watermark: Robust Invisible Watermarking for Backdoor AttackCode0
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers—0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control—0
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIPCode0
Does Few-shot Learning Suffer from Backdoor Attacks?—0
Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?—0
A clean-label graph backdoor attack method in node classification task—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
Punctuation Matters! Stealthy Backdoor Attack for Language Models—0
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement LearningCode0
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger—0
TARGET: Template-Transferable Backdoor Attack Against Prompt-based NLP Models via GPT4—0
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective—0
Attacks on fairness in Federated LearningCode0
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models—0
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data—0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
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