Learning Type Inference for Enhanced Dataflow Analysis
Authors: Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi | Published: 2023-10-01 | Updated: 2023-10-04
Performance evaluation of Machine learning algorithms for Intrusion Detection System
Authors: Sudhanshu Sekhar Tripathy, Bichitrananda Behera | Published: 2023-10-01
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Authors: Xuan Zhang, Wei Gao | Published: 2023-09-30
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Authors: Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen | Published: 2023-09-28 | Updated: 2024-03-18
A Primer on Bayesian Neural Networks: Review and Debates
Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin | Published: 2023-09-28
Breaking On-Chip Communication Anonymity using Flow Correlation Attacks
Authors: Hansika Weerasena, Prabhat Mishra | Published: 2023-09-27 | Updated: 2024-02-01
Watch Your Language: Investigating Content Moderation with Large Language Models
Authors: Deepak Kumar, Yousef AbuHashem, Zakir Durumeric | Published: 2023-09-25 | Updated: 2024-01-17
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
Authors: Ankit Pratap Singh, Namrata Vaswani | Published: 2023-09-25 | Updated: 2024-08-09
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Authors: Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding | Published: 2023-09-25 | Updated: 2023-10-04
Can LLM-Generated Misinformation Be Detected?
Authors: Canyu Chen, Kai Shu | Published: 2023-09-25 | Updated: 2024-04-23