Yingqi Liu
15 papers · 2018–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
π§
Keyword Pioneer
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Grand Slam
π§¬
Topic Evolution
π
Keyword Trendsetter Combo
(3)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(60)
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(13)
Core AI
(11)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Learning Paradigms
(4)
Optimization & Theory
(4)
Techniques
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Keywords
backdoor attack
(8)
neural network
(5)
adversarial learning
(4)
trigger inversion
(4)
backdoor detection
(3)
neural network security
(2)
non-convex optimization
(2)
adversarial defense
(2)
model security
(2)
trojan detection
(2)
federated learning
(2)
trojan attack
(2)
trigger pattern
(2)
deep neural network
(2)
neuron activation
(2)
feature space
(1)
gradient estimation
(1)
loss landscape
(1)
sharpness-aware minimization
(1)
image classification
(1)
Papers
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
Understanding the Stability-based Generalization of Personalized Federated Learning
ICLR 2025
Decentralized Directed Collaboration for Personalized Federated Learning
CVPR 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
NeurIPS 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
ICLR 2023
Make Landscape Flatter in Differentially Private Federated Learning
CVPR 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
Better Trigger Inversion Optimization in Backdoor Scanning
CVPR 2022
Complex Backdoor Detection by Symmetric Feature Differencing
CVPR 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
ICML 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
AAAI 2021
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
NeurIPS 2018