Can We Trust Your Explanations? Sanity Checks for Interpreters in
Android Malware Analysis

Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis

13 August 2020

Yang Liu

Papers citing "Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis"

5 / 5 papers shown

Title
Security through the Eyes of AI: How Visualization is Shaping Malware Detection Matteo Brosolo A. Aazami R. Agarwal M. Prabhakaran S. Nicolazzo Antonino Nocera V. P. AAML 32 0 0 12 May 2025
Towards a consistent interpretation of AIOps models Yingzhe Lyu Gopi Krishnan Rajbahadur Dayi Lin Boyuan Chen Zhen Ming Z. Jiang AI4CE 22 19 0 04 Feb 2022
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 18 76 0 23 Sep 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 30 77 0 09 Mar 2021