The AnalytiCup is an annual open competition at the International Conference on Information and Knowledge Management (CIKM). The AnalytiCup ofers compelling data challenges aimed at members of the industry and academia. The 2020 edition of the CIKM AnalytiCup hosted two data challenges. The final solutions of each challenge were presented at the CIKM AnalytiCup 2020 event, which was held in conjunction with the 29th ACM International Conference on In the following, we provide a short description of each challenge including the number of teams: • COVID-19 Retweet Prediction Challenge (32 teams with more than 200 participants) pandemic. The goal of this challenge is to predict the popularity of COVID-19-related tweets in terms of the number of their retweets. Retweeting-re-posting original content without any change-is a popular function in Twitter and can be seen as amplifying the spread of original messages. This makes retweet prediction a crucial task when studying online information difusion processes during a time of crisis such as the current COVID-19 The winners of the COVID-19 Retweet Prediction Challenge received non-cash prizes challenge has been also supported by GESIS - Leibniz Institute for the Social Sciences, convene ”Challengers” for the safety of AI models based on diferent data modalities, such as text, image, video, and audio. This challenge contains target and non-target attacks CEUR Workshop Proceedings
http://dimitardimitrov.info/ (D. Dimitrov); https://atai.cqut.edu.cn/zhuxiaofei (X. Zhu)
© 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). under diferent scenarios, and the goal is to attack the model by generating adversarial examples to lead the model misjudging.
The winners of the Alibaba-Tsinghua Adversarial Challenge on Object Detection received 68000¥ provided by Alibaba Security.
Each challenge brings together the competition winners presenting their solutions, academic and industry speakers contributing to the main debates. We thank all authors and participants for their eforts in making this edition of the CIKM AnalytiCup an active and intellectually challenging forum of research discussions. We also thank L3S Research Center and Alibaba Security for financially supporting CIKM AnalytiCup 2020. Finally we thank GESIS – Leibniz Institute for the Social Sciences, Germany, Chongqing University of Technology, China, HeinrichHeine-University Düsseldorf, Germany, and Tsinghua University, China for the material support of the CIKM AnalytiCup 2020.
In the following, we list the papers describing the winning solutions in each data challenge and the program committee.
COVID-19 Retweet Prediction Challenge • T Vinayaka Raj CIKM AnalytiCup 2020: COVID-19 Retweet Prediction with Personalized
Attention • Tam T. Nguyen, Karamjit Singh, Sangam Verma, Hardik Wadhwa, Siddharth Vimal, Lalasa Dheekollu, Sheng Jie Lui, Divyansh Gupta, Dong Yang Yin, Zha Wei Word and Graph Embeddings for COVID-19 Retweet Prediction • Daichi Takehara Feature Extraction for Deep Neural Networks: A Case Study on the COVID19 Retweet Prediction Challenge • Guangyuan Piao, Weipeng Huang Regression-enhanced Random Forests with Personalized
Patching for COVID-19 Retweet Prediction Alibaba-Tsinghua Adversarial Challenge on Object Detection • Honglin Li, Yunqing Zhao Fool Object Detectors with 0-Norm Patch Attack • Ye Liu, Xiaofei Zhu, Xianying Huang Eficient Warm Restart Adversarial Attack for Object
Detection • Shudeng Wu, Tao Dai, Shu-Tao Xia DPAttack: Difused Patch Attacks against Universal
ObjectDetection • Yusheng Zhao, Huanqian Yan, Xingxing Wei Object Hider: Adversarial Patch Attack
Against Object Detectors • Jiayu Bao Sparse Adversarial Attack to Object Detection • Yanghao Zhang, Fu Wang, Wenjie Ruan Fooling Object Detectors:Adversarial Attacks by
Half-Neighbor Masks Program Committee • Huayu Chen, Tsinghua University, China • Dimitar Dimitrov, GESIS - Leibniz Institute for the Social Sciences, Germany • Yinpeng Dong, Tsinghua University, China • Yao Feng, Tsinghua University, China • Zhongkai Hao, University of Science and Technology of China, China • Chang Liu, Shanghai Jiao Tong University, China • Bowen Sun, Shanghai Jiao Tong University, China • Zhengyi Wang, Tsinghua University, China • Chengyang Ying, Tsinghua University, China • Xiaofei Zhu, Chongqing University of Technology, China • Xinning Zhou, Tsinghua University, China