SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation.
IEEE Transactions on Knowledge and Data Engineering (TKDE'24)
Posts by Collection
publications
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.
Advances in Neural Information Processing Systems (NeurIPS’22)
Learning Scalable Structural Link Representations with Bloom Signatures.
ACM Web Conference (WWW’24)
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
Transactions on Machine Learning Research (TMLR'24), selected to ICLR 2025 Poster
Privately Learning from Graphs with Applications in Large Language Model Finetuning.
arXiv preprint, In SFLLM-NeurIPS'24 Workshop.
Differentially Private Graph Diffusion with Applications in Personalized PageRanks.
Advances in Neural Information Processing Systems (NeurIPS’24)
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
arXiv preprint, Submitted to ICLR 2025
talks
Talk 1 on Relevant Topic in Your Field
UC San Francisco, Department of Testing
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Tutorial 1 on Relevant Topic in Your Field
UC-Berkeley Institute for Testing Science
Talk 2 on Relevant Topic in Your Field
London School of Testing
Conference Proceeding talk 3 on Relevant Topic in Your Field
Testing Institute of America 2014 Annual Conference
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teaching
Teaching experience 1
University 1, Department
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Teaching experience 2
University 1, Department
This is a description of a teaching experience. You can use markdown like any other post.