Chuangchuang Tan
10 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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Conferences
AAAI (5)
CVPR (3)
ACL (1)
IJCAI (1)
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Keywords
deepfake detection
(5)
diffusion model
(2)
image forensics
(2)
convolutional neural network
(2)
synthetic image detection
(2)
transfer learning
(2)
artifact detection
(2)
image generation
(1)
metric learning
(1)
model quantization
(1)
text classification
(1)
data augmentation
(1)
prompt engineering
(1)
image compression
(1)
anomaly detection
(1)
contrastive learning
(1)
gradient optimization
(1)
binary classification
(1)
gradient descent
(1)
domain generalization
(1)
Papers
ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing
AAAI 2026
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
AAAI 2026
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
AAAI 2025
Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection
IJCAI 2025
BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors
ACL 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
AAAI 2025
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
CVPR 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
AAAI 2024
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
CVPR 2024
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
CVPR 2023