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Table of Contents
1. Optimizing Multi-class Classication of Binaries Based on Static Features
2. Detecting Abusive Comments Using Ensemble Deep Learning Algorithms
3. Deep Learning Techniques for Behavioural Malware Analysis in Cloud IaaS
4. Addressing Malware Attacks on Connected and Autonomous Vehicles: Recent Techniques and Challenges
5. A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis
6. A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classication
7. Word Embedding Techniques for Malware Evolution Detection
8. Reanimating Historic Malware Samples
9. DURLD: Malicious URL detection using Deep learning based Character-level representations
10. Sentiment Analysis for Troll Detection on Weibo
11. Beyond Labeling: Using Clustering to Build Network Behavioral Proles of Malware Families
12. Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs
13. An Empirical Analysis of Image-Based Learning Techniques for Malware Classication
14. A Survey of Intelligent Techniques for Android Malware Detection
15. Malware Detection with Sequence-Based Machine Learning and Deep Learning
16. A Novel Study on Multinomial Classication of x86/x64 Linux ELF Malware Types and Families through Deep Neural Networks
17. Cluster Analysis of Malware Family Relationships
18. Log-Based Malicious Activity Detection using Machine and Deep Learning
19. Deep Learning in Malware Identication and Classication
20. Image Spam Classication with Deep Neural Networks
21. Fast and Straightforward Feature Selection Method
22. On Ensemble Learning
23. A Comparative Study of Adversarial Attacks to Malware Detectors Based on Deep Learning
24. Review of Articial Intelligence Cyber Threat Assessment Techniques for Increased System Survivability
25. Universal Adversarial Perturbations and Image Spam Classiers.
2. Detecting Abusive Comments Using Ensemble Deep Learning Algorithms
3. Deep Learning Techniques for Behavioural Malware Analysis in Cloud IaaS
4. Addressing Malware Attacks on Connected and Autonomous Vehicles: Recent Techniques and Challenges
5. A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis
6. A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classication
7. Word Embedding Techniques for Malware Evolution Detection
8. Reanimating Historic Malware Samples
9. DURLD: Malicious URL detection using Deep learning based Character-level representations
10. Sentiment Analysis for Troll Detection on Weibo
11. Beyond Labeling: Using Clustering to Build Network Behavioral Proles of Malware Families
12. Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs
13. An Empirical Analysis of Image-Based Learning Techniques for Malware Classication
14. A Survey of Intelligent Techniques for Android Malware Detection
15. Malware Detection with Sequence-Based Machine Learning and Deep Learning
16. A Novel Study on Multinomial Classication of x86/x64 Linux ELF Malware Types and Families through Deep Neural Networks
17. Cluster Analysis of Malware Family Relationships
18. Log-Based Malicious Activity Detection using Machine and Deep Learning
19. Deep Learning in Malware Identication and Classication
20. Image Spam Classication with Deep Neural Networks
21. Fast and Straightforward Feature Selection Method
22. On Ensemble Learning
23. A Comparative Study of Adversarial Attacks to Malware Detectors Based on Deep Learning
24. Review of Articial Intelligence Cyber Threat Assessment Techniques for Increased System Survivability
25. Universal Adversarial Perturbations and Image Spam Classiers.