On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?

Authors: Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu | Published: 2023-10-02

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Authors: Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, Li Yuan | Published: 2023-10-02 | Updated: 2024-08-04

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Authors: Sihao Hu, Tiansheng Huang, Fatih İlhan, Selim Furkan Tekin, Ling Liu | Published: 2023-10-02 | Updated: 2023-10-16

Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis

Authors: Evans Owusu, Mohamed Rahouti, D. Frank Hsu, Kaiqi Xiong, Yufeng Xin | Published: 2023-10-02

Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection

Authors: Bibek Bhattarai, H. Howie Huang | Published: 2023-10-02

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