Yichuan Mo
5 papers · 2022–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
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Research topics
Deep Learning
(5)
Machine Learning
(4)
Computer Vision
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Artificial Intelligence
(2)
Core AI · Artificial Intelligence
(2)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Natural Language Processing
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
adversarial training
(2)
adversarial robustness
(2)
image generation
(1)
model robustness
(1)
kl divergence
(1)
model architecture
(1)
model safety
(1)
safety alignment
(1)
computational power
(1)
backdoor attack
(1)
diffusion model
(1)
adversarial defense
(1)
pre-trained model
(1)
latent space
(1)
generative adversarial network
(1)
jailbreaking attack
(1)
prompt optimization
(1)
visual encoder
(1)
latent diffusion model
(1)
mode collapse
(1)
Papers
Fight Back Against Jailbreaking via Prompt Adversarial Tuning
NeurIPS 2024
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
ICML 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
ICML 2024
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
NeurIPS 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
NeurIPS 2022