TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time

20 July 2018

Papers citing "TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time"

43 / 43 papers shown

Title
On Benchmarking Code LLMs for Android Malware Analysis Yiling He Hongyu She Xingzhi Qian Xinran Zheng Zhuo Chen Zhanyue Qin Lorenzo Cavallaro ELM 50 1 0 01 Apr 2025
Benchmarking Android Malware Detection: Rethinking the Role of Traditional and Deep Learning Models Guojun Liu Doina Caragea Xinming Ou Sankardas Roy AAML 69 0 0 24 Feb 2025
LAMD: Context-driven Android Malware Detection and Classification with LLMs Xingzhi Qian Xinran Zheng Yiling He Shuo Yang Lorenzo Cavallaro 83 2 0 18 Feb 2025
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection Xinchen Zhang Running Zhao Zhihan Jiang Handi Chen Yulong Ding Edith C.H. Ngai Shuang-Hua Yang AAML 89 0 0 17 Feb 2025
PromptSAM+: Malware Detection based on Prompt Segment Anything Model Xingyuan Wei Yichen Liu Ce Li Ning Li Degang Sun Yan Wang VLM AAML 37 0 0 04 Aug 2024
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector Xingyuan Wei Ce Li Qiujian Lv Ning Li Degang Sun Yan Wang AAML 37 1 0 03 Aug 2024
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Christian Scano Battista Biggio Ivan Tesfai Ogbu Fabio Roli 49 0 0 23 May 2024
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version) Zeliang Kan Shae McFadden Daniel Arp Feargus Pendlebury Roberto Jordaney Johannes Kinder Fabio Pierazzi Lorenzo Cavallaro 27 1 0 02 Feb 2024
Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection Dominik Macko Patrik Goldschmidt Peter Pistek Daniela Chudá 34 0 0 10 Oct 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 19 23 0 27 Jul 2023
Detecting Misuse of Security APIs: A Systematic Review Zahra Mousavi Chadni Islam Muhammad Ali Babar A. Abuadbba Kristen Moore 37 3 0 15 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 49 25 0 30 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 21 20 0 28 Mar 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 44 1 0 13 Dec 2022
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode Tiezhu Sun Kevin Allix Kisub Kim Xin Zhou Dongsun Kim David Lo Tegawende F. Bissyande Jacques Klein 29 12 0 12 Dec 2022
SUNDEW: An Ensemble of Predictors for Case-Sensitive Detection of Malware Sareena Karapoola Nikhilesh Singh Chester Rebeiro V. Kamakoti 15 0 0 11 Nov 2022
Firenze: Model Evaluation Using Weak Signals Bhavna Soman A. Torkamani Michael J. Morais Jeffrey Bickford Baris Coskun 35 2 0 02 Jul 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification Daniel Gibert Carles Mateu Jordi Planes Quan Le AAML 40 48 0 12 Jun 2022
Fast & Furious: Modelling Malware Detection as Evolving Data Streams Fabrício Ceschin Marcus Botacin Heitor Murilo Gomes Felipe Pinagé Luiz S. Oliveira André Grégio AAML 9 17 0 24 May 2022
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection Dominik Kus Eric Wagner Jan Pennekamp Konrad Wolsing I. Fink Markus Dahlmanns Klaus Wehrle Martin Henze 26 24 0 18 May 2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection Giovanni Apruzzese Pavel Laskov A.T. Tastemirova 38 29 0 18 May 2022
Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks Harel Berger A. Dvir Chen Hajaj Rony Ronen AAML 29 3 0 09 May 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 18 5 0 20 Apr 2022
MaMaDroid2.0 -- The Holes of Control Flow Graphs Harel Berger Chen Hajaj Enrico Mariconti A. Dvir 36 4 0 28 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 26 36 0 11 Feb 2022
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code Peng Xu 14 5 0 19 Dec 2021
hybrid-Falcon: Hybrid Pattern Malware Detection and Categorization with Network Traffic and Program Code Peng Xu Claudia Eckert Apostolis Zarras 36 4 0 19 Dec 2021
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels R. Joyce Dev Amlani B. Hamilton Edward Raff 49 21 0 29 Nov 2021
RacketStore: Measurements of ASO Deception in Google Play via Mobile and App Usage Nestor Hernandez Ruben Recabarren Bogdan Carbunar Syed Ishtiaque Ahmed 21 2 0 19 Nov 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 38 51 0 07 Oct 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 80 12 0 20 Sep 2021
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks Yiming Hei Renyu Yang Hao Peng Lihong Wang Xiaolin Xu Jianwei Liu Hong Liu Jie Xu Lichao Sun 31 54 0 17 Aug 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 35 77 0 09 Mar 2021
Adversarial Robustness with Non-uniform Perturbations Ece Naz Erdemir Jeffrey Bickford Luca Melis Sergul Aydore AAML 24 26 0 24 Feb 2021
Technical Report -- Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits Octavian Suciu Connor Nelson Zhuo Lyu Tiffany Bao Tudor Dumitras 8 36 0 15 Feb 2021
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites R. Purwanto Arindam Pal Alan Blair S. Jha 24 2 0 22 Jul 2020
Towards Accurate Labeling of Android Apps for Reliable Malware Detection Aleieldin Salem 6 6 0 01 Jul 2020
When the Guard failed the Droid: A case study of Android malware Harel Berger Chen Hajaj A. Dvir AAML 30 7 0 31 Mar 2020
On Model Evaluation under Non-constant Class Imbalance J. Brabec Tomás Komárek Vojtech Franc Lukás Machlica 16 36 0 15 Jan 2020
Detecting and Characterizing Lateral Phishing at Scale Grant Ho Asaf Cidon Lior Gavish M. Schweighauser V. Paxson Stefan Savage G. Voelker D. Wagner 11 96 0 02 Oct 2019
A Preliminary Study On the Sustainability of Android Malware Detection Haipeng Cai 15 102 0 22 Jul 2018
Eight Years of Rider Measurement in the Android Malware Ecosystem: Evolution and Lessons Learned Guillermo Suarez-Tangil Gianluca Stringhini 19 62 0 24 Jan 2018