Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection

30 June 2020

Papers citing "Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection"

40 / 40 papers shown

Title
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 88 0 0 16 May 2025
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 51 0 0 14 May 2025
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 91 0 0 28 Apr 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 209 0 0 23 Jan 2025
MASKDROID: Robust Android Malware Detection with Masked Graph Representations Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 55 2 0 29 Sep 2024
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations Hamid Bostani Zhengyu Zhao Veelasha Moonsamy AAML 60 0 0 27 Aug 2024
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning Alimohammad Beigi Zhen Tan Nivedh Mudiam Canyu Chen Kai Shu Huan Liu DeLMO 89 2 0 31 Jul 2024
Invisible Backdoor Attack against Self-supervised Learning Hanrong Zhang Zhenting Wang Tingxu Han Mingyu Jin Chenlu Zhan Jundong Li Hongwei Wang Shiqing Ma Hongwei Wang Shiqing Ma AAML SSL 88 3 0 23 May 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free Bao Gia Doan Dang Quang Nguyen Paul Montague Tamas Abraham O. Vel S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe AAML 63 1 0 27 Mar 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 94 3 0 21 Feb 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 52 1 0 20 Jan 2024
A Malware Classification Survey on Adversarial Attacks and Defences Mahesh Ponnuru Likhitha Amasala Tanu Sree Bhimavarapu Guna Chaitanya Garikipati AAML 29 4 0 15 Dec 2023
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks Yuyang Zhou Guang Cheng Zongyao Chen Shui Yu AAML 98 5 0 11 Dec 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 65 3 0 15 Nov 2023
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors T. To Danhee Kim Do Thi Thu Hien Nghi Hoang Khoa Hien Do Hoang Phan The Duy V. Pham AAML 45 1 0 25 Sep 2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting Ping He Yifan Xia Xuhong Zhang Shouling Ji AAML 82 15 0 05 Sep 2023
Discretization-based ensemble model for robust learning in IoT Anahita Namvar Chandra Thapa S. Kanhere AAML OOD 62 1 0 18 Jul 2023
Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez 59 1 0 14 Jun 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 92 19 0 22 Feb 2023
Targeted Attacks on Timeseries Forecasting Yuvaraj Govindarajulu Avinash Amballa Pavan Kulkarni Manojkumar Somabhai Parmar AAML AI4TS 24 6 0 27 Jan 2023
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 139 1 0 19 Sep 2022
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 82 2 0 29 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 54 3 0 09 May 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 95 1 0 04 Mar 2022
MaMaDroid2.0 -- The Holes of Control Flow Graphs Harel Berger Chen Hajaj Enrico Mariconti A. Dvir 62 4 0 28 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems Zesheng Chen AAML 48 8 0 11 Feb 2022
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation Mehdi Sadi B. M. S. Bahar Talukder Kaniz Mishty Md. Tauhidur Rahman AAML 88 0 0 18 Nov 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 90 60 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 119 13 0 20 Sep 2021
Towards Making Deep Learning-based Vulnerability Detectors Robust Zhen Li Jing Tang Deqing Zou Qian Chen Shouhuai Xu Chao Zhang Yichen Li Hai Jin AAML 15 8 0 02 Aug 2021
A methodology to identify identical single-board computers based on hardware behavior fingerprinting Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Gil Pérez Gregorio Martínez Pérez 70 10 0 15 Jun 2021
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS Guangquan Xu Guohua Xin Litao Jiao Jian Liu Shaoying Liu Meiqi Feng Xi Zheng AAML FedML 46 18 0 25 May 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 31 8 0 27 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 81 81 0 09 Mar 2021
Adversarial Robustness with Non-uniform Perturbations Ece Naz Erdemir Jeffrey Bickford Luca Melis Sergul Aydore AAML 64 27 0 24 Feb 2021
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki Bartosz Krawczyk AAML 113 23 0 20 Sep 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors Bushra Sabir Muhammad Ali Babar R. Gaire A. Abuadbba AAML 86 10 0 18 May 2020
Optimal Feature Manipulation Attacks Against Linear Regression Fuwei Li Lifeng Lai Shuguang Cui AAML 41 2 0 29 Feb 2020