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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 201–250 of 523 papers

TitleStatusHype
Going In Style: Audio Backdoors Through Stylistic TransformationsCode0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
FooBaR: Fault Fooling Backdoor Attack on Neural Network TrainingCode0
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion ModelsCode0
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIPCode0
Adversarial Feature Map Pruning for BackdoorCode0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Few-shot Backdoor Attacks via Neural Tangent KernelsCode0
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated LearningCode0
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement LearningCode0
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation ModelsCode0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models—0
Backdoor Attack in the Physical World—0
BadNL: Backdoor Attacks Against NLP Models—0
Federated Learning with Flexible Architectures—0
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements—0
Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learning—0
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts—0
False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger—0
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks—0
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models—0
BadHMP: Backdoor Attack against Human Motion Prediction—0
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis—0
An Invisible Backdoor Attack Based On Semantic Feature—0
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers—0
Explainability-based Backdoor Attacks Against Graph Neural Networks—0
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense—0
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT—0
Backdoor Attack and Defense for Deep Regression—0
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion—0
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry—0
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion—0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models—0
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation—0
Feature Grinding: Efficient Backdoor Sanitation in Deep Neural Networks—0
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—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
Effective backdoor attack on graph neural networks in link prediction tasks—0
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