(In)Security of File Uploads in Node.js
Harun Oz, Abbas Acar, AHMET ARIS, Güliz Seray Tuncay, Amin Kharraz, Selcuk Uluagac
Poster
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
Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale
Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu
Poster
Fair Graph Representation Learning via Sensitive Attribute Disentanglement
Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen
Oral
PMG : Personalized Multimodal Response Generation with Large Language Models
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
Poster
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon, Hwanjo Yu
Oral
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
Oral
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Poster
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs
Weijian Yu, Jie Yang, Dingqi Yang
Oral
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
Oral
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Poster
ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning
Xueying Han, Susu Cui, Qinjian, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu
Poster
Identifying Risky Vendors in Cryptocurrency P2P Marketplaces
Taro Tsuchiya, Alejandro Cuevas, Nicolas Christin
Poster
Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications
Xiaofan Li, Jin Yang, Jiaqi Chen, Yuzhe Tang, Xing Gao
Poster
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
Poster
Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection
Ziming Zhao, Zhaoxuan Li, Zhuoxue Song, Wenhao Li, Fan Terry Zhang
Oral
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, QIONGXU MA, Linxun Chen, Bing Han, Junchi Yan
Poster
Reconciling the accuracy-diversity trade-off in recommendations
Kenneth L Peng, Manish Raghavan, Emma Pierson, Jon Kleinberg, Nikhil Garg
Oral
Sublinear-Time Opinion Estimation in the Friedkin--Johnsen Model
Stefan Neumann, Yinhao Dong, Pan Peng
Poster
Harnessing Multi-role Capabilities of Large Language Models for Open-domain Question Answering
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan
Oral
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
Poster