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"

23 / 23 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 23 0 0 16 May 2025
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 31 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 50 0 0 28 Apr 2025
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning Vasudev Gohil Satwik Patnaik D. Kalathil Jeyavijayan Rajendran AAML 45 3 0 21 Feb 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 26 1 0 20 Jan 2024
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 28 3 0 15 Nov 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 31 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 59 18 0 22 Feb 2023
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection Orel Lavie A. Shabtai Gilad Katz AAML OffRL 32 1 0 19 Sep 2022
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 33 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 31 3 0 09 May 2022
MaMaDroid2.0 -- The Holes of Control Flow Graphs Harel Berger Chen Hajaj Enrico Mariconti A. Dvir 38 4 0 28 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems Zesheng Chen AAML 24 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 37 0 0 18 Nov 2021
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection Hamid Bostani Veelasha Moonsamy AAML 43 52 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
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 22 10 0 15 Jun 2021
Metamorphic Detection of Repackaged Malware S. Singh Gail E. Kaiser 24 8 0 27 Apr 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
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 46 14 0 06 Nov 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 27 52 0 24 May 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 314 3,115 0 04 Nov 2016