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Minerva: A File-Based Ransomware Detector
v1v2v3v4 (latest)

Minerva: A File-Based Ransomware Detector

ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023
26 January 2023
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Lorenzo De Carli
L. Mancini
    AAML
ArXiv (abs)PDFHTML

Papers citing "Minerva: A File-Based Ransomware Detector"

13 / 13 papers shown
Adversarial Challenges in Network Intrusion Detection Systems: Research
  Insights and Future Prospects
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future ProspectsIEEE Access (IEEE Access), 2024
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
503
17
0
27 Sep 2024
Have You Poisoned My Data? Defending Neural Networks against Data
  Poisoning
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
Fabio De Gaspari
Dorjan Hitaj
Luigi V. Mancini
AAMLTDI
176
9
0
20 Mar 2024
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Sediola Ruko
Briland Hitaj
Luigi V. Mancini
Fernando Perez-Cruz
405
10
0
06 Mar 2024
FedComm: Federated Learning as a Medium for Covert Communication
FedComm: Federated Learning as a Medium for Covert CommunicationIEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
FedML
298
19
0
21 Jan 2022
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy
  Features for Ransomware Classification
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification
Jinting Zhu
Ju-Seong Jang
Amardeep Singh
I. Welch
Harith Al-Sahaf
S. Çamtepe
AAML
187
76
0
01 Dec 2021
MalPhase: Fine-Grained Malware Detection Using Network Flow Data
MalPhase: Fine-Grained Malware Detection Using Network Flow DataACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021
Michal Piskozub
Fabio De Gaspari
Frederick Barr-Smith
L. Mancini
Ivan Martinovic
128
35
0
01 Jun 2021
Reliable Detection of Compressed and Encrypted Data
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
137
21
0
31 Mar 2021
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA
  Robustness to Bot Attacks
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot AttacksIEEE Intelligent Systems (IEEE Intell. Syst.), 2020
Dorjan Hitaj
Briland Hitaj
S. Jajodia
L. Mancini
AAML
141
21
0
30 Oct 2020
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes
The Naked Sun: Malicious Cooperation Between Benign-Looking ProcessesInternational Conference on Applied Cryptography and Network Security (ACNS), 2019
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
AAML
159
34
0
06 Nov 2019
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Andrii Shalaginov
Sergii Banin
Ali Dehghantanha
K. Franke
119
114
0
03 Aug 2018
Query-Efficient Black-Box Attack Against Sequence-Based Malware
  Classifiers
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers
Ishai Rosenberg
A. Shabtai
Yuval Elovici
Lior Rokach
AAML
306
11
0
23 Apr 2018
Black-Box Attacks against RNN based Malware Detection Algorithms
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu
Ying Tan
134
161
0
23 May 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
3.8K
29,550
0
22 May 2017
1