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2208.10605
Cited By
SoK: Explainable Machine Learning for Computer Security Applications
22 August 2022
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
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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
1