Revisiting the Performance of Deep Learning-Based Vulnerability
Detection on Realistic Datasets

Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

3 July 2024

Partha Chakraborty

Krishna Kanth Arumugam

Mahmoud Alfadel

Meiyappan Nagappan

Papers citing "Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets"

11 / 11 papers shown

Title
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 144 1,075 0 08 Jan 2024
RLocator: Reinforcement Learning for Bug Localization Partha Chakraborty Mahmoud Alfadel M. Nagappan 45 8 0 09 May 2023
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 85 157 0 21 Jul 2020
The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL J. Walden 23 31 0 28 May 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 151 2,613 0 19 Feb 2020
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 172 258 0 03 Nov 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 585 28,999 0 09 Sep 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 681 38,735 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.0K 16,931 0 16 Feb 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 523 12,692 0 11 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 339 25,569 0 09 Jun 2011