add: 1 paper

_news/nips_ac23.md

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+---
+layout: post
+date: 2023-06-07
+inline: true
+---
+
+I was nominated as the Area Chair (AC) for NeurIPS 2023 Dataset and Benchmark track!

_news/promptbench.md

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+---
+layout: post
+date: 2023-06-07
+inline: true
+---
+
+PromptBench: a unified benchmark to evaluate the adversarial robustness of prompts of large language models! [[arxiv](https://arxiv.org/abs/2306.04528)] [[code](https://github.com/microsoft/promptbench)]

_pages/publications.md

@@ -11,6 +11,7 @@ nav: true
 
 #### Preprints
 
+- PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie. [[arxiv](https://arxiv.org/abs/2306.04528)] [[code](https://github.com/microsoft/promptbench)]
 - Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. Damien Teney, Jindong Wang, Ehsan Abbasnejad. [[arxiv](https://arxiv.org/abs/2305.16817)]
 - Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj. [[arxiv](https://arxiv.org/abs/2305.12715)]
 - Exploring Vision-Language Models for Imbalanced Learning. Yidong Wang, Zhuohao Yu, **Jindong Wang**, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang. [[arxiv](https://arxiv.org/abs/2304.01457)] [[code](https://github.com/Imbalance-VLM/Imbalance-VLM)]

_pages/research.md

@@ -14,6 +14,12 @@ These days, we are specifically interested in robustness in large language model
 
 Our research consists of the following topics with selected publications: [[View by year](https://jd92.wang/publications/)]
 
+##### New: large models
+
+- [arXiv'23] [PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts](https://arxiv.org/abs/2306.04528). Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie. [[code](https://github.com/microsoft/promptbench)]
+- **[ICLR'23 large model workshop]** [On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective](https://arxiv.org/abs/2302.12095). Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, and Xing Xie.
+- - **[arXiv'23]** [Exploring Vision-Language Models for Imbalanced Learning](https://arxiv.org/abs/2304.01457). Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang. [[code](https://github.com/Imbalance-VLM/Imbalance-VLM)]
+
 ##### Out-of-distribution (Domain) generalization and adaptation for distribution shift
 
 - **[ICLR'23]** [Out-of-distribution Representation Learning for Time Series Classification](https://arxiv.org/abs/2209.07027). Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, and Xing Xie.
@@ -47,7 +53,6 @@ Our research consists of the following topics with selected publications: [[View
 
 ##### Safe transfer learning for security
 
-- **[arXiv'23]** [On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective](https://arxiv.org/abs/2302.12095). Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, and Xing Xie.
 - **[ICSE'22]** [ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing](https://jd92.wang/assets/files/icse22-remos.pdf). Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, and Yunxin Liu.
 - **[IEEE TBD'22]** [Personalized Federated Learning with Adaptive Batchnorm for Healthcare](https://arxiv.org/abs/2112.00734). Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, and Tao Qin.
 - **[TKDE'22]** [Unsupervised deep anomaly detection for multi-sensor time-series signals](https://arxiv.org/abs/2107.12626). Yuxin Zhang, Yiqiang Chen, Jindong Wang, and Zhiwen Pan.

_pages/service.md

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   - IJCAI 2019 Publicity co-chair
   - ICDM 2019 transfer learning session chair
 - Conference senior member/area chair:
+  - NeurIPS 2023 Area Chair for Dataset and Benchmark track
+  - AAAI 2023 senior PC
   - IJCAI 2023 senior PC
   - AAAI 2023 senior PC
 - Conference PC member: