Leveraging Uncertainty for Improved Static Malware Detection Under
Extreme False Positive Constraints

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

9 August 2021

Charles K. Nicholas

Papers citing "Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints"

16 / 16 papers shown

Title
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection Siddhant Gupta Fred Lu Andrew Barlow Edward Raff Francis Ferraro Cynthia Matuszek Charles K. Nicholas James Holt 63 0 0 27 Nov 2024
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector Xingyuan Wei Ce Li Qiujian Lv Ning Li Degang Sun Yan Wang AAML 16 1 0 03 Aug 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free Bao Gia Doan Dang Quang Nguyen Paul Montague Tamas Abraham O. Vel S. Çamtepe S. Kanhere Ehsan Abbasnejad D. Ranasinghe AAML 20 1 0 27 Mar 2024
Catchém all: Classification of Rare, Prominent, and Novel Malware Families M. Eren Ryan Barron Manish Bhattarai Selma Wanna N. Solovyev Kim Ø. Rasmussen Boian S. Alexandrov Charles K. Nicholas 16 1 0 04 Mar 2024
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! Tirth Patel Fred Lu Edward Raff Charles K. Nicholas Cynthia Matuszek James Holt 17 3 0 25 Dec 2023
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection M. Eren Manish Bhattarai R. Joyce Edward Raff Charles K. Nicholas Boian S. Alexandrov 11 7 0 12 Sep 2023
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware M. Eren Manish Bhattarai Kim Ø. Rasmussen Boian S. Alexandrov Charles K. Nicholas 17 4 0 04 Sep 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 22 35 0 03 Mar 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan Shuiqiao Yang Paul Montague O. Vel Tamas Abraham S. Çamtepe S. Kanhere Ehsan Abbasnejad D. Ranasinghe OOD AAML 13 6 0 30 Jan 2023
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 14 2 0 05 Sep 2022
Firenze: Model Evaluation Using Weak Signals Bhavna Soman A. Torkamani Michael J. Morais Jeffrey Bickford Baris Coskun 17 2 0 02 Jul 2022
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 33 16 0 23 Sep 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 51 11 0 20 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,620 0 03 Jul 2012