Vinod P - RankMe

21 papers Misc 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CTI Dataset Construction from Telegram. ITASEC/SERICS Dincy R. Arikkat, Sneha B. T., Serena Nicolazzo, Antonino Nocera, Vinod P, Rafidha Rehiman K. A., Karthika R
2026	J	`jnl`	How secure is forgetting? Linking machine unlearning to machine learning attacks. Neurocomputing Muhammed Shafi K. P., Serena Nicolazzo, Antonino Nocera, Vinod P
2025	J	`jnl`	How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks. CoRR Muhammed Shafi K. P., Serena Nicolazzo, Antonino Nocera, Vinod P
2025	Misc	`conf`	MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation. SAC Marco Simoni, Andrea Saracino, Vinod P, Mauro Conti
2025	J	`jnl`	When Forgetting Triggers Backdoors: A Clean Unlearning Attack. CoRR Marco Arazzi, Antonino Nocera, Vinod P
2024	J	`jnl`	D-Fence layer: an ensemble framework for comprehensive deepfake detection. Multim. Tools Appl. Asha S, Vinod P, Irene Amerini, Varun G. Menon
2024	J	`jnl`	Privacy-Preserving in Blockchain-based Federated Learning Systems. CoRR K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti
2024	J	`jnl`	SeCTIS: A Framework to Secure CTI Sharing. CoRR Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Vinod P
2023	—	`conf`	MMDFD- A Multimodal Custom Dataset for Deepfake Detection. IC3 Asha S, Vinod P, Varun G. Menon
2022	J	`jnl`	GANG-MAM: GAN based enGine for Modifying Android Malware. SoftwareX Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P
2021	—	`conf`	A Study on Misclassification of Software Vulnerabilities when using Deep Learning and Machine Learning Algorithms. ITASEC Vishnu Ramesh, Sara Abraham, Vinod P, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna
2021	J	`jnl`	GANG-MAM: GAN based enGine for Modifying Android Malware. CoRR Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P
2021	J	`jnl`	Malware detection employed by visualization and deep neural network. Comput. Secur. Anson Pinhero, Anupama M. L, Vinod P, Corrado Aaron Visaggio, Aneesh N, Abhijith S, AnanthaKrishnan S
2020	J	`jnl`	Detection of algorithmically-generated domains: An adversarial machine learning approach. Comput. Commun. Mohammad Hadi Alaeiyan, Saeed Parsa, Vinod P, Mauro Conti
2020	J	`jnl`	SysDroid: a dynamic ML-based android malware analyzer using system call traces. Clust. Comput. A. Ananya, A. Aswathy, T. R. Amal, P. G. Swathy, Vinod P, Mohammad Shojafar
2019	J	`jnl`	A machine learning based approach to detect malicious android apps using discriminant system calls. Future Gener. Comput. Syst. Vinod P, Akka Zemmari, Mauro Conti
2019	J	`jnl`	Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach. CoRR Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti
2019	J	`jnl`	Identification of Android malware using refined system calls. Concurr. Comput. Pract. Exp. Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti
2018	J	`jnl`	FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware. CoRR Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti
2014	—	`conf`	Framework for design of Graybot in social network. ICACCI Silpa Sebastian, Sonal Ayyappan, Vinod P
2014	—	`conf`	Linux malware detection using non-parametric statistical methods. ICACCI Asmitha KA, Vinod P