Lina Wang
12 papers · 2022–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25)
π§
Keyword Pioneer
π
Century Club
(12)
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Unstoppable
(5)
ποΈ
Keyword Collector
(64)
β
The Questioner
Conferences
AAAI (7)
IJCAI (3)
ICCV (2)
Top co-authors
Research topics
Keywords
adversarial attack
(2)
text-to-image model
(2)
contrastive learning
(2)
image restoration
(1)
image reconstruction
(1)
anomaly detection
(1)
transfer learning
(1)
distributed learning
(1)
face recognition
(1)
image synthesis
(1)
backdoor attack
(1)
deepfake detection
(1)
secure multi-party computation
(1)
semantic network
(1)
data augmentation
(1)
model fingerprinting
(1)
generative model
(1)
latent representation
(1)
deep neural network
(1)
neural network pruning
(1)
Papers
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)
AAAI 2026
ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference
AAAI 2026
MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models
AAAI 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination
AAAI 2026
Automated Red Teaming for Text-to-Image Models through Feedback-Guided Prompt Iteration with Vision-Language Models
ICCV 2025
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
AAAI 2025
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version
IJCAI 2025
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
ICCV 2023
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training
IJCAI 2022
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations
IJCAI 2022