SoK: Explainable Machine Learning for Computer Security Applications

SoK: Explainable Machine Learning for Computer Security Applications

22 August 2022

Robert Baumgartner

Papers citing "SoK: Explainable Machine Learning for Computer Security Applications"

19 / 19 papers shown

Title
Contextualized AI for Cyber Defense: An Automated Survey using LLMs Christoforus Yoga Haryanto Anne Maria Elvira Trung Duc Nguyen Minh Hieu Vu Yoshiano Hartanto Emily Lomempow Arathi Arakala 33 0 0 20 Sep 2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model Yasir Ali Farrukh S. Wali I. Khan Nathaniel D. Bastian 79 2 0 27 Aug 2024
More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool Ashley Suh Harry Li Caitlin Kenney Kenneth Alperin Steven R. Gomez AAML 27 2 0 08 Aug 2024
Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering Saman Pordanesh Benjamin Tan 22 3 0 09 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 37 0 0 31 May 2024
Explainability Guided Adversarial Evasion Attacks on Malware Detectors Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Moustafa Saleh AAML 19 4 0 02 May 2024
Can LLMs Understand Computer Networks? Towards a Virtual System Administrator Denis Donadel Francesco Marchiori Luca Pajola Mauro Conti 27 7 0 19 Apr 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 24 6 0 26 Jan 2024
A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools Koen T. W. Teuwen 15 0 0 25 Jan 2024
Critical Path Prioritization Dashboard for Alert-driven Attack Graphs Sonia Leal Díaz Sergio Pastrana A. Nadeem 8 0 0 19 Oct 2023
HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs) Tarek Ali Panos Kostakos 22 39 0 27 Sep 2023
Rethinking the Trigger-injecting Position in Graph Backdoor Attack Jing Xu Gorka Abad S. Picek LLMSV SILM 14 6 0 05 Apr 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 25 7 0 21 Feb 2023
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 30 5 0 31 Oct 2022
You Can't Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality Pier Paolo Tricomi Federica Nenna Luca Pajola Mauro Conti Luciano Gamberi 16 32 0 22 Sep 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 42 18 0 31 May 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 172 183 0 03 Feb 2022
FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants Yanjiao Chen Yijie Bai Richard Mitev Kaibo Wang A. Sadeghi Wenyuan Xu AAML 6 21 0 21 Sep 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017