| 2023 | Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. | Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen |
| 2023 | Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. | Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen |
| 2023 | Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust. | Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev |
| 2023 | A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring. | Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert |
| 2023 | Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. | Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu |
| 2023 | Automatic Component Identification Based on Time Series Classification for Intelligent Devices. | Mingsen Du, Yanxuan Wei, Yupeng Hu, Xiangwei Zheng, Cun Ji |
| 2023 | A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems. | Chengzu Dong, Jingwen Zhou, Aiting Yao, Zhiyu Xu, Frank Jiang, Shiping Chen, Xiao Liu |
| 2023 | E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. | Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth |
| 2023 | Themis: Detecting Anomalies from Disguised Normal Financial Activities. | Rui Ding, Xiaochun Yang, Bin Wang |
| 2023 | Entropy Aware Training for Fast and Accurate Distributed GNN. | Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar |
| 2023 | A contactless automated dynamic monitoring method for organoid morphology on the time axis. | Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu |
| 2023 | Human-Centered Evaluation of XAI Methods. | Karam Tomotaki-Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse |
| 2023 | Self-supervision meets kernel graph neural models: From architecture to augmentations. | Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang |
| 2023 | Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries. | Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian, Wanchun Dou |
| 2023 | Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. | Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Xinying Chen, Yue Ning |
| 2023 | ICA model estimation using a mixed learning rule based on genetic algorithms and neural networks. | Doru Constantin, Costel Balcau, Doru Anastasiu Popescu |
| 2023 | Clustering High-dimensional Toxicogenomics Data with Rare Signals. | Guojing Cong, Scott Auerbach |
| 2023 | An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. | Sylvain W. Combettes, Charles Truong, Laurent Oudre |
| 2023 | ViGEO: an Assessment of Vision GNNs in Earth Observation. | Luca Colomba, Paolo Garza |
| 2023 | Applying Machine Learning in Personality-based Persuasion Marketing. | Evripides Christodoulou, Andreas Gregoriades |
| 2023 | Multimodal Deep Learning with Boosted Trees for Edge Inference. | Penny Chong, Laura Wynter, Bharathi Chaudhury |
| 2023 | Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. | Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang |
| 2023 | CrsKGC-RSAN: Conflict Resolution Strategy for Knowledge Graph Completion. | Jie Chen, Xin Zhang, Wuyang Zhang, Siyu Tan, Shu Zhao |
| 2023 | A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning. | Peng Chen, Jirui Yang, Junxiong Lin, Zhihui Lu, Qiang Duan, Hongfeng Chai |