@inproceedings{wu2024vertibench,title={VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks},author={Wu, Zhaomin and Hou, Junyi and He, Bingsheng},year={2024},booktitle={The Twelfth International Conference on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11},publisher={OpenReview.net},url={https://openreview.net/forum?id=glwwbaeKm2},timestamp={Tue, 23 Jul 2024 16:00:00 +0200},}
@article{10459338,title={Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification},author={Zhi, Ruicong and Meng, Yicheng and Hou, Junyi and Wan, Jun},year={2024},journal={IEEE Transactions on Neural Networks and Learning Systems},volume={},number={},pages={1--11},doi={10.1109/TNNLS.2024.3368341},keywords={Task analysis;Training;Computational modeling;Stability analysis;Prototypes;Feature extraction;Data models;Class-incremental learning;data imbalance;knowledge distillation (KD);representation learning},}
VLDB 2024
LLM-PBE: Assessing Data Privacy in Large Language Models
Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, and 7 more authors
In 50th International Conference on Very Large Data Bases, VLDB 2024, Guangzhou, China, August 26-30, 2024.Our LLM Privacy Challenge can be found here , 2024
We are delighted to inform you that your paper, titled “LLM-PBE: Assessing Data Privacy in Large Language Models [Experiment, Analysis & Benchmark] (Revision Submission)” has been nominated for the best paper award for PVLDB Vol. 17 (VLDB 2024).
@inproceedings{qb2024llmpbe,title={LLM-PBE: Assessing Data Privacy in Large Language Models},author={Li, Qinbin and Hong, Junyuan and Xie, Chulin and Tan, Jeffrey and Xin, Rachel and Hou, Junyi and Yin, Xavier and Wang, Zhun and Hendrycks, Dan and Wang, Zhangyang and Li, Bo and He, Bingsheng and Song, Dawn},year={2024},booktitle={50th International Conference on Very Large Data Bases, {VLDB} 2024, Guangzhou, China, August 26-30, 2024.},volume={17},timestamp={Sun, 30 Jun 2024 08:27:00 +0800},}
NeurIPS 2024 CT
The NeurIPS 2024 LLM Privacy Challenge
Qinbin Li, Junyuan Hong, Chulin Xie, Junyi Hou, Yiqun Diao, Zhun Wang, and 5 more authors
@inproceedings{li2024llmpc,title={The Neur{IPS} 2024 {LLM} Privacy Challenge},author={Li, Qinbin and Hong, Junyuan and Xie, Chulin and Hou, Junyi and Diao, Yiqun and Wang, Zhun and Hendrycks, Dan and Wang, Zhangyang and Li, Bo and He, Bingsheng and Song, Dawn},year={2024},booktitle={NeurIPS 2024 Competition Track},url={https://openreview.net/forum?id=2cRnDwpF6D},}
NeurIPS 2024
Federated Transformer: Scalable Vertical Federated Learning on Practical Fuzzily Linked Data
Zhaomin Wu, Junyi Hou, Yiqun Diao, and Bingsheng He
In The Thirty-eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver, Canada, Dec 9-15 , 2024