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ORCIDMark Stamp 0001
Mark Steven Stamp
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- affiliation: San Jose State University, Department of Computer Science, CA, USA
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Books and Theses
- 2005
[b2]Mark Stamp:
Information security - principles and practice. Wiley 2005, ISBN 978-0-471-73848-0, pp. I-XXI, 1-390- 1992
- [b1]Mark Steven Stamp:
A generalized linear complexity. Texas Tech University, Lubbock, USA, 1992
Journal Articles
- 2024
- [j59]Vrinda Malhotra, Katerina Potika, Mark Stamp
:
A comparison of graph neural networks for malware classification. J. Comput. Virol. Hacking Tech. 20(1): 53-69 (2024) - [j58]Ritik Mehta, Olha Jurecková, Mark Stamp:
A natural language processing approach to Malware classification. J. Comput. Virol. Hacking Tech. 20(1): 173-184 (2024) - 2023
- [j57]Nhien Rust-Nguyen, Shruti Sharma, Mark Stamp:
Darknet traffic classification and adversarial attacks using machine learning. Comput. Secur. 127: 103098 (2023) - [j56]Yashna Peerthum, Mark Stamp:
An empirical analysis of the shift and scale parameters in BatchNorm. Inf. Sci. 637: 118951 (2023) - [j55]Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, Mark Stamp:
Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo. J. Comput. Virol. Hacking Tech. 19(1): 1-16 (2023) - [j54]Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp:
Generative adversarial networks and image-based malware classification. J. Comput. Virol. Hacking Tech. 19(4): 579-595 (2023) - 2021
- [j53]Xinxin Yang, Mark Stamp:
Computer-aided diagnosis of low grade endometrial stromal sarcoma (LGESS). Comput. Biol. Medicine 138: 104874 (2021) - 2020
- [j52]Guruswamy Nellaivadivelu, Fabio Di Troia, Mark Stamp:
Black box analysis of android malware detectors. Array 6: 100022 (2020) - [j51]Mayuri Wadkar, Fabio Di Troia, Mark Stamp:
Detecting malware evolution using support vector machines. Expert Syst. Appl. 143 (2020) - [j50]Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional neural networks for image spam detection. Inf. Secur. J. A Glob. Perspect. 29(3): 103-117 (2020) - [j49]Samanvitha Basole, Fabio Di Troia, Mark Stamp:
Multifamily malware models. J. Comput. Virol. Hacking Tech. 16(1): 79-92 (2020) - [j48]Mugdha Jain, William Andreopoulos, Mark Stamp:
Convolutional neural networks and extreme learning machines for malware classification. J. Comput. Virol. Hacking Tech. 16(3): 229-244 (2020) - 2019
- [j47]Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp:
Feature analysis of encrypted malicious traffic. Expert Syst. Appl. 125: 130-141 (2019) - [j46]Aditya Raghavan, Fabio Di Troia, Mark Stamp:
Hidden Markov models with random restarts versus boosting for malware detection. J. Comput. Virol. Hacking Tech. 15(2): 97-107 (2019) - [j45]Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp:
An analysis of Android adware. J. Comput. Virol. Hacking Tech. 15(3): 147-160 (2019) - 2018
- [j44]Annapurna Annadatha, Mark Stamp:
Image spam analysis and detection. J. Comput. Virol. Hacking Tech. 14(1): 39-52 (2018) - [j43]Suchita Deshmukh, Fabio Di Troia, Mark Stamp:
Vigenère scores for malware detection. J. Comput. Virol. Hacking Tech. 14(2): 157-165 (2018) - 2017
- [j42]Rohit Vobbilisetty, Fabio Di Troia, Richard M. Low, Corrado Aaron Visaggio, Mark Stamp:
Classic cryptanalysis using hidden Markov models. Cryptologia 41(1): 1-28 (2017) - [j41]Ismeet Kaur Makkar, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
SocioBot: a Twitter-based botnet. Int. J. Secur. Networks 12(1): 1-12 (2017) - [j40]Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
A comparison of static, dynamic, and hybrid analysis for malware detection. J. Comput. Virol. Hacking Tech. 13(1): 1-12 (2017) - [j39]Swathi Pai, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Clustering for malware classification. J. Comput. Virol. Hacking Tech. 13(2): 95-107 (2017) - [j38]Sukanya Thakur, Mark Stamp:
A completely covert audio channel in Android. J. Comput. Virol. Hacking Tech. 13(3): 141-152 (2017) - 2016
- [j37]Tanuvir Singh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Support vector machines and malware detection. J. Comput. Virol. Hacking Tech. 12(4): 203-212 (2016) - [j36]Usha Narra, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Clustering versus SVM for malware detection. J. Comput. Virol. Hacking Tech. 12(4): 213-224 (2016) - 2015
- [j35]Arshi Agrawal, Mark Stamp:
Masquerade detection on GUI-based Windows systems. Int. J. Secur. Networks 10(1): 32-41 (2015) - [j34]Jared Lee, Thomas H. Austin, Mark Stamp:
Compression-based analysis of metamorphic malware. Int. J. Secur. Networks 10(2): 124-136 (2015) - [j33]Chinmayee Annachhatre, Thomas H. Austin, Mark Stamp:
Hidden Markov models for malware classification. J. Comput. Virol. Hacking Tech. 11(2): 59-73 (2015) - [j32]Mangesh Musale, Thomas H. Austin, Mark Stamp:
Hunting for metamorphic JavaScript malware. J. Comput. Virol. Hacking Tech. 11(2): 89-102 (2015) - [j31]Ashwin Kalbhor, Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp:
Dueling hidden Markov models for virus analysis. J. Comput. Virol. Hacking Tech. 11(2): 103-118 (2015) - [j30]Ranjith Kumar Jidigam, Thomas H. Austin, Mark Stamp:
Singular value decomposition and metamorphic detection. J. Comput. Virol. Hacking Tech. 11(4): 203-216 (2015) - 2014
- [j29]Aditya Oza, Kevin Ross, Richard M. Low, Mark Stamp:
HTTP attack detection using n-gram analysis. Comput. Secur. 45: 242-254 (2014) - [j28]Kelly Chang, Richard M. Low, Mark Stamp:
Cryptanalysis of Typex. Cryptologia 38(2): 116-132 (2014) - [j27]Hardikkumar Rana, Mark Stamp:
Hunting for Pirated Software Using Metamorphic Analysis. Inf. Secur. J. A Glob. Perspect. 23(3): 68-85 (2014) - [j26]Sayali Deshpande, Young Hee Park, Mark Stamp:
Eigenvalue analysis for metamorphic detection. J. Comput. Virol. Hacking Tech. 10(1): 53-65 (2014) - [j25]Teja Tamboli, Thomas H. Austin, Mark Stamp:
Metamorphic code generation from LLVM bytecode. J. Comput. Virol. Hacking Tech. 10(3): 177-187 (2014) - [j24]Nikki Benecke Brandt, Mark Stamp:
Automating NFC message sending for good and evil. J. Comput. Virol. Hacking Tech. 10(4): 273-297 (2014) - 2013
- [j23]Young Hee Park, Douglas S. Reeves, Mark Stamp:
Deriving common malware behavior through graph clustering. Comput. Secur. 39: 419-430 (2013) - [j22]Amrapali Dhavare, Richard M. Low, Mark Stamp:
Efficient Cryptanalysis of Homophonic Substitution Ciphers. Cryptologia 37(3): 250-281 (2013) - [j21]Shabana Kazi, Mark Stamp:
Hidden Markov Models for Software Piracy Detection. Inf. Secur. J. A Glob. Perspect. 22(3): 140-149 (2013) - [j20]Annie H. Toderici, Mark Stamp:
Chi-squared distance and metamorphic virus detection. J. Comput. Virol. Hacking Tech. 9(1): 1-14 (2013) - [j19]Sudarshan Madenur Sridhara, Mark Stamp:
Metamorphic worm that carries its own morphing engine. J. Comput. Virol. Hacking Tech. 9(2): 49-58 (2013) - [j18]Gayathri Shanmugam, Richard M. Low, Mark Stamp:
Simple substitution distance and metamorphic detection. J. Comput. Virol. Hacking Tech. 9(3): 159-170 (2013) - [j17]Donabelle Baysa, Richard M. Low, Mark Stamp:
Structural entropy and metamorphic malware. J. Comput. Virol. Hacking Tech. 9(4): 179-192 (2013) - 2012
- [j16]Neha Runwal, Richard M. Low, Mark Stamp:
Opcode graph similarity and metamorphic detection. J. Comput. Virol. 8(1-2): 37-52 (2012) - 2011
- [j15]Lin Huang, Mark Stamp:
Masquerade detection using profile hidden Markov models. Comput. Secur. 30(8): 732-747 (2011) - [j14]Da Lin, Mark Stamp:
Hunting for undetectable metamorphic viruses. J. Comput. Virol. 7(3): 201-214 (2011) - 2010
- [j13]Priti Desai, Mark Stamp:
A highly metamorphic virus generator. Int. J. Multim. Intell. Secur. 1(4): 402-427 (2010) - [j12]Vaibhav Ranchhoddas Pandya, Mark Stamp:
iPhone Security Analysis. J. Information Security 1(2): 74-87 (2010) - 2009
- [j11]Srilatha Attaluri, Scott McGhee, Mark Stamp:
Profile hidden Markov models and metamorphic virus detection. J. Comput. Virol. 5(2): 151-169 (2009) - 2008
- [j10]Hsu-Hui Lee, Mark Stamp:
An agent-based privacy-enhancing model. Inf. Manag. Comput. Secur. 16(3): 305-319 (2008) - 2007
- [j9]Mark Stamp, Wing On Chan:
Sigaba: Cryptanalysis of the Full Keyspace. Cryptologia 31(3): 201-222 (2007) - [j8]E. John Sebes, Mark Stamp:
Solvable problems in enterprise digital rights management. Inf. Manag. Comput. Secur. 15(1): 33-45 (2007) - 2006
- [j7]Wing Wong, Mark Stamp:
Hunting for metamorphic engines. J. Comput. Virol. 2(3): 211-229 (2006) - 2005
- [j6]Clyde F. Martin, Mark Stamp, Dorothy I. Wallace:
A characterization of a class of discrete nonlinear feedback systems. Commun. Inf. Syst. 5(3): 305-310 (2005) - 2004
- [j5]Mark Stamp:
Risks of monoculture. Commun. ACM 47(3): 120 (2004) - 2003
- [j4]Mark Stamp:
Digital Rights Management: The Technology Behind the Hype. J. Electron. Commer. Res. 4(3): 102-112 (2003) - 2002
- [j3]Mark Stamp:
Risks of digital rights management. Commun. ACM 45(9): 120 (2002) - 1993
- [j2]Mark Stamp, Clyde F. Martin:
An algorithm for the k-error linear complexity of binary sequences with period 2n. IEEE Trans. Inf. Theory 39(4): 1398-1401 (1993) - 1992
- [j1]Mark Stamp:
Circular Binary Sequences. SIAM Rev. 34(3): 496-497 (1992)
Conference and Workshop Papers
- 2022
- [c23]Katrina Tran, Fabio Di Troia, Mark Stamp:
Robustness of Image-Based Malware Analysis. SVCC 2022: 3-21 - 2021
- [c22]Aparna Sunil Kale, Fabio Di Troia, Mark Stamp:
Malware Classification with Word Embedding Features. ICISSP 2021: 733-742 - [c21]Dennis Dang, Fabio Di Troia, Mark Stamp:
Malware Classification using Long Short-term Memory Models. ICISSP 2021: 743-752 - [c20]Jing Zhao, Samanvitha Basole, Mark Stamp:
Malware Classification with GMM-HMM Models. ICISSP 2021: 753-762 - [c19]Elliu Huang, Fabio Di Troia, Mark Stamp, Preethi Sundaravaradhan:
A New Dataset for Smartphone Gesture-based Authentication. ICISSP 2021: 771-780 - 2019
- [c18]Neeraj Chavan, Fabio Di Troia, Mark Stamp:
A Comparative Analysis of Android Malware. ICISSP 2019: 664-673 - [c17]Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp:
Transfer Learning for Image-based Malware Classification. ICISSP 2019: 719-726 - 2018
- [c16]Mark Stamp, Fabio Di Troia, Miles Stamp, Jasper Huang:
Hidden Markov Models for Vigenère Cryptanalysis. HistoCrypt 2018: 149:011 - [c15]Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp:
Support Vector Machines for Image Spam Analysis. ICETE (1) 2018: 597-607 - [c14]Naman Bagga, Fabio Di Troia, Mark Stamp:
On the Effectiveness of Generic Malware Models. ICETE (1) 2018: 608-616 - [c13]Wei-Chung Huang, Fabio Di Troia, Mark Stamp:
Robust Hashing for Image-based Malware Classification. ICETE (1) 2018: 617-625 - [c12]Jasper Huang, Fabio Di Troia, Mark Stamp:
Acoustic Gait Analysis using Support Vector Machines. ICISSP 2018: 545-552 - [c11]Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp:
Deep Learning versus Gist Descriptors for Image-based Malware Classification. ICISSP 2018: 553-561 - [c10]Prathiba Nagarajan, Fabio Di Troia, Thomas H. Austin, Mark Stamp:
Autocorrelation Analysis of Financial Botnet Traffic. ICISSP 2018: 599-606 - 2017
- [c9]Ankita Kapratwar, Fabio Di Troia, Mark Stamp:
Static and Dynamic Analysis of Android Malware. ICISSP 2017: 653-662 - 2016
- [c8]Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Malware Detection Using Dynamic Birthmarks. IWSPA@CODASPY 2016: 41-46 - [c7]Nikitha Ganesh, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Static Analysis of Malicious Java Applets. IWSPA@CODASPY 2016: 58-63 - [c6]Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Advanced transcriptase for JavaScript malware. MALWARE 2016: 121-128 - 2013
- [c5]Thomas H. Austin, Eric Filiol, Sébastien Josse, Mark Stamp:
Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach. HICSS 2013: 5039-5048 - 2008
- [c4]Jian Dai, Mark Stamp:
QuickPay Online Payment Protocol. SEKE 2008: 223-226 - 2006
- [c3]Amit Mathur, Suneuy Kim, Mark Stamp:
Role Based Access Control and the JXTA Peer-to-Peer Framework. Security and Management 2006: 390-398 - [c2]Hsu-Hui Lee, Mark Stamp:
P3P privacy enhancing agent. SWS 2006: 109-110 - 2005
- [c1]Martina Simova, Mark Stamp, Chris Pollett:
Stealthy Ciphertext. International Conference on Internet Computing 2005: 380-388
Parts in Books or Collections
- 2018
- [p5]Mark Stamp:
A Survey of Machine Learning Algorithms and Their Application in Information Security. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 33-55 - [p4]Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, Mark Stamp:
Function Call Graphs Versus Machine Learning for Malware Detection. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 259-279 - [p3]Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp:
Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 281-299 - [p2]Swathi Nambiar Kadala Manikoth, Fabio Di Troia, Mark Stamp:
Masquerade Detection on Mobile Devices. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 301-315 - 2010
- [p1]Teodoro Cipresso, Mark Stamp:
Software Reverse Engineering. Handbook of Information and Communication Security 2010: 659-696
Editorship
- 2010
- [e1]Peter P. Stavroulakis, Mark Stamp:
Handbook of Information and Communication Security. Springer 2010, ISBN 978-3-642-04116-7 [contents]
Informal and Other Publications
- 2024
- [i42]Olha Jurecková, Martin Jurecek, Mark Stamp:
Online Clustering of Known and Emerging Malware Families. CoRR abs/2405.03298 (2024) - 2023
- [i41]Vrinda Malhotra, Katerina Potika, Mark Stamp:
A Comparison of Graph Neural Networks for Malware Classification. CoRR abs/2303.12812 (2023) - [i40]Yashna Peerthum, Mark Stamp:
An Empirical Analysis of the Shift and Scale Parameters in BatchNorm. CoRR abs/2303.12818 (2023) - [i39]Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia:
Creating Valid Adversarial Examples of Malware. CoRR abs/2306.13587 (2023) - [i38]Lei Zhang, Dong Li, Olha Jurecková, Mark Stamp:
Steganographic Capacity of Deep Learning Models. CoRR abs/2306.17189 (2023) - [i37]Brooke Dalton, Mark Stamp:
Classifying World War II Era Ciphers with Machine Learning. CoRR abs/2307.00501 (2023) - [i36]Atharva Sharma, Martin Jurecek, Mark Stamp:
Keystroke Dynamics for User Identification. CoRR abs/2307.05529 (2023) - [i35]Aditya Raghavan, Fabio Di Troia, Mark Stamp:
Hidden Markov Models with Random Restarts vs Boosting for Malware Detection. CoRR abs/2307.10256 (2023) - [i34]Ritik Mehta, Olha Jurecková, Mark Stamp:
A Natural Language Processing Approach to Malware Classification. CoRR abs/2307.11032 (2023) - [i33]Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp:
A Comparison of Adversarial Learning Techniques for Malware Detection. CoRR abs/2308.09958 (2023) - [i32]Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang, Mark Stamp:
On the Steganographic Capacity of Selected Learning Models. CoRR abs/2308.15502 (2023) - [i31]Anant Shukla, Martin Jurecek, Mark Stamp:
Social Media Bot Detection using Dropout-GAN. CoRR abs/2311.05079 (2023) - [i30]Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp:
Feature Analysis of Encrypted Malicious Traffic. CoRR abs/2312.04596 (2023) - 2022
- [i29]Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection. CoRR abs/2203.09938 (2022) - [i28]Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional Neural Networks for Image Spam Detection. CoRR abs/2204.01710 (2022) - [i27]Andrew Miller, Fabio Di Troia, Mark Stamp:
Hidden Markov Models with Momentum. CoRR abs/2206.04057 (2022) - [i26]Nhien Rust-Nguyen, Mark Stamp:
Darknet Traffic Classification and Adversarial Attacks. CoRR abs/2206.06371 (2022) - [i25]Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp:
Generative Adversarial Networks and Image-Based Malware Classification. CoRR abs/2207.00421 (2022) - [i24]Samanvitha Basole, Fabio Di Troia, Mark Stamp:
Multifamily Malware Models. CoRR abs/2207.00620 (2022) - [i23]Eric Liang, Mark Stamp:
Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks. CoRR abs/2208.07250 (2022) - 2021
- [i22]Aparna Sunil Kale, Fabio Di Troia, Mark Stamp:
Malware Classification with Word Embedding Features. CoRR abs/2103.02711 (2021) - [i21]Dennis Dang, Fabio Di Troia, Mark Stamp:
Malware Classification Using Long Short-Term Memory Models. CoRR abs/2103.02746 (2021) - [i20]Jing Zhao, Samanvitha Basole, Mark Stamp:
Malware Classification with GMM-HMM Models. CoRR abs/2103.02753 (2021) - [i19]Andy Phung, Mark Stamp:
Universal Adversarial Perturbations and Image Spam Classifiers. CoRR abs/2103.05469 (2021) - [i18]Sunhera Paul, Mark Stamp:
Word Embedding Techniques for Malware Evolution Detection. CoRR abs/2103.05759 (2021) - [i17]Samanvitha Basole, Mark Stamp:
Cluster Analysis of Malware Family Relationships. CoRR abs/2103.05761 (2021) - [i16]Aniket Chandak, Wendy Lee, Mark Stamp:
A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification. CoRR abs/2103.05763 (2021) - [i15]Zidong Jiang, Fabio Di Troia, Mark Stamp:
Sentiment Analysis for Troll Detection on Weibo. CoRR abs/2103.09054 (2021) - [i14]Mark Stamp, Aniket Chandak, Gavin Wong, Allen Ye:
On Ensemble Learning. CoRR abs/2103.12521 (2021) - [i13]Mugdha Jain, William Andreopoulos, Mark Stamp:
CNN vs ELM for Image-Based Malware Classification. CoRR abs/2103.13820 (2021) - [i12]Pratikkumar Prajapati, Mark Stamp:
An Empirical Analysis of Image-Based Learning Techniques for Malware Classification. CoRR abs/2103.13827 (2021) - [i11]Han-Chih Chang, Jianwei Li, Ching-Seh Wu, Mark Stamp:
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics. CoRR abs/2107.00507 (2021) - [i10]Rakesh Nagaraju, Mark Stamp:
Auxiliary-Classifier GAN for Malware Analysis. CoRR abs/2107.01620 (2021) - [i9]Lolitha Sresta Tupadha, Mark Stamp:
Machine Learning for Malware Evolution Detection. CoRR abs/2107.01627 (2021) - [i8]Xinxin Yang, Mark Stamp:
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS). CoRR abs/2107.05426 (2021) - [i7]Jianwei Li, Han-Chih Chang, Mark Stamp:
Free-Text Keystroke Dynamics for User Authentication. CoRR abs/2107.07009 (2021) - [i6]Han-Chih Chang, Jianwei Li, Mark Stamp:
Machine Learning-Based Analysis of Free-Text Keystroke Dynamics. CoRR abs/2107.07409 (2021) - [i5]Ruchira Gothankar, Fabio Di Troia, Mark Stamp:
Clickbait Detection in YouTube Videos. CoRR abs/2107.12791 (2021) - [i4]Elliu Huang, Fabio Di Troia, Mark Stamp:
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication. CoRR abs/2110.14597 (2021) - 2019
- [i3]Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Malware Detection Using Dynamic Birthmarks. CoRR abs/1901.07312 (2019) - [i2]Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp:
Transfer Learning for Image-Based Malware Classification. CoRR abs/1903.11551 (2019) - [i1]Neeraj Chavan, Fabio Di Troia, Mark Stamp:
A Comparative Analysis of Android Malware. CoRR abs/1904.00735 (2019)
Coauthor Index
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