Kshitiz Aryal

According to our database, Kshitiz Aryal authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SoK: Leveraging Transformers for Malware Analysis.

Pradip Kunwar, Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Elisa Bertino

CoRR, 2024

Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File.

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh

CoRR, 2024

Explainable Deep Learning Models for Dynamic and Online Malware Classification.

Quincy Card, Daniel Simpson, Kshitiz Aryal, Maanak Gupta, Sheikh Rabiul Islam

Proceedings of the IEEE International Conference on Smart Computing, 2024

Explainability-Informed Targeted Malware Misclassification.

Quincy Card, Kshitiz Aryal, Maanak Gupta

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Explainability Guided Adversarial Evasion Attacks on Malware Detectors.

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy.

Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker, Lopamudra Praharaj

IEEE Access, 2023

Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT.

Elena Becker, Maanak Gupta, Kshitiz Aryal

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Exploiting Windows PE Structure for Adversarial Malware Evasion Attacks.

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam

Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

2022

Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector.

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Survey on Adversarial Attacks for Malware Analysis.

Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam

CoRR, 2021