Chia-Mu Yu
13 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Renaissance Researcher (7) π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (38)
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π
Century Club
(13)
β
The Questioner
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (3)
CVPR (2)
ICCV (2)
ICLR (2)
WACV (2)
AAAI (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
parameter-efficient fine-tuning
(3)
low-rank adaptation
(3)
differential privacy
(3)
privacy-utility trade-off
(2)
adversarial robustness
(2)
image synthesis
(2)
model compression
(2)
contrastive learning
(1)
representation learning
(1)
unsupervised learning
(1)
transfer learning
(1)
backdoor defense
(1)
personalized generation
(1)
knowledge editing
(1)
data poisoning
(1)
responsible ai
(1)
image generation
(1)
model merging
(1)
instruction following
(1)
data augmentation
(1)
Papers
DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models
WACV 2025
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
EMNLP 2025
Differentially Private Fine-Tuning of Diffusion Models
ICCV 2025
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off
WACV 2025
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
ICLR 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NIPS 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
ICLR 2024
Exploring the Benefits of Visual Prompting in Differential Privacy
ICCV 2023
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
AAAI 2022
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis
CVPR 2022
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
NIPS 2021
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics
CVPR 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
NIPS 2021