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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
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios—0
Hidden Backdoor Attack against Deep Learning-Based Wireless Signal Modulation Classifiers—0
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning—0
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models—0
HoneypotNet: Backdoor Attacks Against Model Extraction—0
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee—0
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations—0
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving—0
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning—0
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World—0
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models—0
Does Few-shot Learning Suffer from Backdoor Attacks?—0
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks—0
Double Landmines: Invisible Textual Backdoor Attacks based on Dual-Trigger—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning—0
Backdoor Attack with Imperceptible Input and Latent Modification—0
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer—0
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks—0
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records—0
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning—0
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models—0
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
A semantic backdoor attack against Graph Convolutional Networks—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Backdoor Attacks with Input-unique Triggers in NLP—0
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense—0
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT—0
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only—0
Explainability-based Backdoor Attacks Against Graph Neural Networks—0
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations—0
A4O: All Trigger for One sample—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
CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks—0
Backdoor Attacks on the DNN Interpretation System—0
Feature Grinding: Efficient Backdoor Sanitation in Deep Neural Networks—0
A Robust Attack: Displacement Backdoor Attack—0
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving—0
Federated Learning with Flexible Architectures—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark—0
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