Unfiltered: Measuring Cloud-based Email Filtering Bypasses
Sumanth Rao, Enze Liu, Grant Ho, Geoffrey M. Voelker, Stefan Savage
Oral
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
Recommender Transformers with Behavior Pathways
Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
Poster
Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning
Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang
Poster
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection
Yupeng Li, Haorui He, Jin Bai, Dacheng Wen
Oral
ModelGo: A Tool for Machine Learning License Analysis
Moming Duan, Qinbin Li, Bingsheng He
Oral
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners
Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao
Poster
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Chirag P Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya
Poster
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
Oral
Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks
Jiaming Huang, Yi Gao, Wei Dong
Poster
Uplift Modeling for Target User Attacks on Recommender Systems
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Oral
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
Zhen Qin, Xueqiang Yan, Mengchu Zhou, Shuiguang Deng
Oral
Differentially Private Selection from Secure Distributed Computing
Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
Oral
Causally Debiased Time-aware Recommendation
Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen
Poster
Making Cloud Spot Instance Interruption Events Visible
Kyunghwan Kim, Kyungyong Lee
Oral
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
Poster
Graph Contrastive Learning with Cohesive Subgraph Awareness
Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye
Poster
Navigating the Post-API Dilemma: Search Engine Results Pages Present a Biased View of Social Media Data
Amrit Poudel, Tim Weninger
Oral
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Lio
Poster
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Poster
Adversarial Mask Explainer for Graph Neural Networks
Wei Zhang, Xiaofan Li, Wolfgang Nejdl
Oral