Lastest Update: 26th Mar 2024
Please refer [Google Scholar] for the full publication list.
Selected Preprint Papers
- Revealing vulnerabilities in stable diffusion via targeted attacks [arxiv]
Chenyu Zhang, Lanjun Wang, An-An Liu - A Training-Free Plug-and-Play Watermark Framework for Stable Diffusion [arxiv]
Guokai Zhang, Lanjun Wang, Yuting Su, An-An Liu - T2IW: Joint Text to Image & Watermark Generation [arxiv]
An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, and Lanjun Wang
Selected Conference Papers
- My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection [link]
Lanjun Wang, Xinran Qiao, Yanwei Xie, Weizhi Nie, Yongdong Zhang, An-An Liu
ACM MM, 2023 - Improving rumor detection by class-based adversarial domain adaptation [link]
Jingqiu Li, Lanjun Wang, Jianlin He, Yongdong Zhang, An-An Liu
ACM MM, 2023 - Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space [link]
Huaqing Shao, Lanjun Wang, Junchi Yan
KDD, 2023 - Cosine model watermarking against ensemble distillation [link]
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
AAAI, 2022 - Human guided exploitation of interpretable attention patterns in summarization and topic segmentation [link] [code]
Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini
EMNLP, 2022 - Robust counterfactual explanations on graph neural networks [link]
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
NeurIPS, 2021 - T3-vis: visual analytic for training and fine-tuning transformers in NLP [link] [code]
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
EMNLP: System Demonstrations, 2021 - Stealthy targeted data poisoning attack on knowledge graphs [link]
Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks VS Lakshmanan, Lanjun Wang
ICDE, 2021 - Personalized cross-silo federated learning on non-iid data [link]
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
AAAI, 2021 - Finding representative interpretations on convolutional neural networks [link]
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
ICCV, 2021
Selected Journal Papers
- MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction [link]
Xiaowen Wang, Lanjun Wang, Yuting Su, Yongdong Zhang, An-An Liu
IEEE Transactions on Multimedia, 2024, DOI: 10.1109/TMM.2024.3372371 - Vulnerability of Feature Extractors in 2D Image-Based 3D Object Retrieval [link]
An-An Liu, He-Yu Zhou, Xuanya Li, Lanjun Wang
IEEE Transactions on Multimedia, 2022, DOI: 10.1109/TMM.2022.3186740