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Quantifying and Mitigating Privacy Risks of Contrastive Learning

Xinlei HE

Attribute Inference Attack, Contrastive Learning, Membership Inference Attack

Random Smoothing Regularization in Kernel Gradient Descent Learning

Wenjia WANG

early stopping, kernel methods, Random smoothing

Resource Efficient LLM Fine-tuning and Serving

Zeyi WEN

Efficiency, Fine-tuning, Large Language Models, Model Serving

Rethinking Graph Neural Networks for Anomaly Detection

Jia LI

Anomaly Detection, graph neural networks

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport

Fugee TSUNG, Jia LI

Graph alignment, Optimal transport, Structure learning, Unsupervised Learning

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Xinlei HE

Dataset, model

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

Xinlei HE

Membership Inference Attack, Semi-supervised Learning

Semi-Supervised Hierarchical Graph Classification

Jia LI

graph mutual information, graph representation, Hierarchical graph, Semi-supervised Learning

Small Defect Inspection for Product Quality Control

Fugee TSUNG, Yingcong CHEN

Anomaly Detection, Computer Vision, Quality Control, Unsupervised Learning

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders

Xinlei HE

Self-supervised Learning, Watermark