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Towards Stable Backdoor Purification through Feature Shift Tuning
Rui Min
, Zeyu Qin
, Li Shen
,
Minhao Cheng
College of Information Sciences and Technology
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
Scopus citations
Overview
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Dive into the research topics of 'Towards Stable Backdoor Purification through Feature Shift Tuning'. Together they form a unique fingerprint.
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Keyphrases
Backdoor
100%
Poisoning
60%
Backdoor Attack
40%
Specific Model
20%
Attacker
20%
Small Sets
20%
Comprehensive Evaluation
20%
Training Samples
20%
Entanglement
20%
Behavioral Model
20%
Real-world Application
20%
Stable Performance
20%
Training Process
20%
Attack Scenario
20%
Deep Neural Network
20%
Defense Method
20%
Tuning Methods
20%
Vanilla
20%
Parameter Adjustment
20%
Model Driven Architecture
20%
Lines of Defense
20%
Classifier Weights
20%
Tuning Cost
20%
Computer Science
Backdoors
100%
Attackers
14%
Behavior Model
14%
World Application
14%
Training Process
14%
Attack Scenario
14%
Deep Neural Network
14%
Training Sample
14%
Model Architecture
14%