Kangjie Chen
12 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Grand Slam
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(53)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(9)
Machine Learning
(7)
Computer Vision
(4)
Deep Learning
(4)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Natural Language Processing
(2)
Analysis
(2)
Generation
(2)
Resources & Methods
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
adversarial attack
(4)
backdoor attack
(4)
vision-language model
(3)
large language model
(2)
neural network
(2)
pre-trained model
(2)
text-to-image model
(2)
safety evaluation
(2)
red teaming
(2)
knowledge editing
(1)
gaussian splatting
(1)
text-to-image generation
(1)
model editing
(1)
deep learning
(1)
preference learning
(1)
policy optimization
(1)
facial animation
(1)
adaptive algorithm
(1)
code generation
(1)
object detection
(1)
Papers
TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models
CVPR 2026
Automated Red Teaming for Text-to-Image Models through Feedback-Guided Prompt Iteration with Vision-Language Models
ICCV 2025
HRAvatar: High-Quality and Relightable Gaussian Head Avatar
CVPR 2025
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
ICML 2025
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NeurIPS 2024
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
ICLR 2023
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
ICML 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
ICLR 2022
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
AAAI 2020
Defending Against Man-In-The-Middle Attack in Repeated Games
IJCAI 2017