Now 5234 visitors
Today:0 Yesterday:0
Total: 147759 212S 50P 4R
2026-10-20, Week 43
Member Login
TACT Journal Homepage
Call for Paper
Committee
Find My Paper
Author Homepage
Statistics & History
Welcome Message
Paper Procedure
FAQ
Paper Archives
Outstanding Papers
Program & Proceedings
Presentation Platform
Hotel & Travel Info
Photo Gallery
Scheduler Login
Seminar
Archives Login
Sponsors




















Paper Number Author:
Paper Title
Keyword
Q&A Number **Select your question number !!
Questioner eMail:
Question
Answer
by
Author
Save Q&A

* Edit or answer any Q&A by selecting Q&A number Hyper Link below + Write button (Save)
ICACT20260055 Question.1
Questioner: abilaaniloshan@gmail.com    2026-02-09 오후 3:45:14
ICACT20260055 Answer.1
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-09 오후 3:45:14
Chrome Click!!
Why did you choose a hybrid CNN–Vision Transformer architecture instead of using only CNNs or only Transformers for PDF malware detection?
ICACT20260055 Question.10
Questioner: vicky940318@gmail.com    2026-02-11 오후 8:05:46
ICACT20260055 Answer.10
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오후 8:05:46
Chrome Click!!
What are the main limitations of the proposed system, and how could future work address these limitations to improve real-world deployment?
ICACT20260055 Question.2
Questioner: arjunvirvashisht@gmail.com    2026-02-10 오전 12:50:29
ICACT20260055 Answer.2
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-10 오전 12:50:29
Chrome Click!!
Do you plan to test this model against obfuscated or encrypted PDF malware in the future?
ICACT20260055 Question.3
Questioner: arjunvirvashisht@gmail.com    2026-02-10 오전 12:51:24
ICACT20260055 Answer.3
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-10 오전 12:51:24
Chrome Click!!
Was the training dataset for this study obtained from a public repository?
ICACT20260055 Question.4
Questioner: hominpark@etri.re.kr    2026-02-10 오전 11:01:01
ICACT20260055 Answer.4
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-10 오전 11:01:01
Chrome Click!!
Could the 99% accuracy achieved using only the PDFRep dataset without augmentation indicate overfitting to specific dataset biases? Also, regarding the avg_degree outlier identified in the SHAP analysis, did you investigate if this represents a potential evasion technique?
ICACT20260055 Question.5
Questioner: mrajhans@paloaltonetworks.com    2026-02-11 오전 7:24:18
ICACT20260055 Answer.5
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오전 7:24:18
Chrome Click!!
How robust is the proposed CNN + ViT model to adversarially crafted or heavily obfuscated PDF malware (e.g., structure-preserving attacks or feature-manipulation evasion), given that evaluation is limited to the PDFRep dataset without explicit adversarial testing?
ICACT20260055 Question.6
Questioner: vicky940318@gmail.com    2026-02-11 오후 8:05:03
ICACT20260055 Answer.6
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오후 8:05:03
Chrome Click!!
Why did the authors choose to combine Convolutional Neural Networks (CNN) with Vision Transformers (ViT) instead of using a single deep learning model for PDF malware detection?
ICACT20260055 Question.7
Questioner: vicky940318@gmail.com    2026-02-11 오후 8:05:13
ICACT20260055 Answer.7
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오후 8:05:13
Chrome Click!!
How does the proposed hybrid CNN–ViT model improve robustness against obfuscation techniques and zero-day PDF malware compared to traditional machine learning approaches?
ICACT20260055 Question.8
Questioner: vicky940318@gmail.com    2026-02-11 오후 8:05:24
ICACT20260055 Answer.8
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오후 8:05:24
Chrome Click!!
What role does the PDFRep dataset play in achieving high detection performance, and how does dataset size and diversity influence the model’s effectiveness?
ICACT20260055 Question.9
Questioner: vicky940318@gmail.com    2026-02-11 오후 8:05:35
ICACT20260055 Answer.9
Answer by Auhor b.emmanuelkwesi@lancaster.edu.gh   2026-02-11 오후 8:05:35
Chrome Click!!
How does the SHAP explainability framework help identify the most influential features in the model’s decision-making process?