An Evasion and Counter-Evasion Study in Malicious Websites Detection

8 August 2014

Papers citing "An Evasion and Counter-Evasion Study in Malicious Websites Detection"

35 / 35 papers shown

Title
AutoCRAT: Automatic Cumulative Reconstruction of Alert Trees Eric Ficke Raymond M. Bateman Shouhuai Xu 19 1 0 17 Sep 2024
Characterizing the Evolution of Psychological Tactics and Techniques Exploited by Malicious Emails Theodore Longtchi Shouhuai Xu 20 3 0 21 Aug 2024
Characterizing the Evolution of Psychological Factors Exploited by Malicious Emails Theodore Longtchi Shouhuai Xu 24 3 0 21 Aug 2024
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
Social Engineering Attacks and Defenses in the Physical World vs. Cyberspace: A Contrast Study Rosana Montañez Rodriguez A. Atyabi Shouhuai Xu AAML 44 8 0 09 Mar 2022
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
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites Mir Mehedi Ahsan Pritom Kristin M. Schweitzer Raymond M. Bateman Min Xu Shouhuai Xu 76 11 0 25 Feb 2021
Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity Shouhuai Xu 49 49 0 09 Oct 2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 77 126 0 30 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers Yusi Lei Sen Chen Lingling Fan Fu Song Yang Liu AAML 86 50 0 15 Apr 2020
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 75 13 0 15 Apr 2020
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective Avisha Das Shahryar Baki Ayman El Aassal Rakesh M. Verma Arthur Dunbar 62 110 0 03 Nov 2019
A Case Study on Using Deep Learning for Network Intrusion Detection Gabriel C. Fernandez Shouhuai Xu 29 37 0 05 Oct 2019
Analyzing Root Causes of Intrusion Detection False-Negatives: Methodology and Case Study Eric Ficke Kristin M. Schweitzer Raymond M. Bateman Shouhuai Xu 27 8 0 18 Sep 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 114 18 0 19 May 2019
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 64 15 0 19 Dec 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 63 21 0 18 Sep 2018
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks Tegjyot Singh Sethi M. Kantardzic J. Ryu AAML 77 11 0 24 Mar 2018
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains Tegjyot Singh Sethi M. Kantardzic AAML 106 49 0 23 Mar 2017
Learning convolutional neural network to maximize Pos@Top performance measure Yanyan Geng Ru‐Ze Liang Weizhi Li Qinfeng Li Gaoyuan Liang Chenhao Xu Jim Jing-Yan Wang 74 50 0 27 Sep 2016
Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison Jihong Fan Ru‐Ze Liang 39 22 0 03 Sep 2016
A novel transfer learning method based on common space mapping and weighted domain matching Ru‐Ze Liang W. Xie Weizhi Li Hongqi Wang Jim Jing-Yan Wang Lisa Taylor 44 34 0 16 Aug 2016
Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function Ru‐Ze Liang Lihui Shi Haoxiang Wang Jian Meng Jim Jing-Yan Wang Qingquan Sun Yi Gu 75 92 0 22 Apr 2016
A Survey on Security Metrics Marcus Pendleton Richard B. Garcia-Lebron Shouhuai Xu 44 13 0 20 Jan 2016
Manifold regularization in structured output space for semi-supervised structured output prediction Fei Jiang Lili Jia Xiaobao Sheng Riley LeMieux AI4TS 35 4 0 12 Aug 2015
Representing data by sparse combination of contextual data points for classification Jingyan Wang Yihua Zhou Ming Yin Shaochang Chen Benjamin Edwards 39 12 0 30 Jun 2015
Online classifier adaptation for cost-sensitive learning Junlin Zhang José García OffRL 45 5 0 23 Mar 2015
Supervised cross-modal factor analysis for multiple modal data classification Jingbin Wang Yu-Sung Tu Kanghong Duan Zhenxin Zhan S. Chekuri 64 1 0 18 Feb 2015
Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation Mohua Zhang Jianhua Peng Xuejie Liu Jim Jing-Yan Wang 62 2 0 09 Feb 2015
Vector Quantization by Minimizing Kullback-Leibler Divergence Lan Yang Jingbin Wang Yu-Sung Tu Prarthana Mahapatra Nelson Cardoso MQ 40 0 0 30 Jan 2015
Regularized maximum correntropy machine Jim Jing-Yan Wang Yunji Wang Bing-Yi Jing Xin Gao 36 21 0 18 Jan 2015
Learning manifold to regularize nonnegative matrix factorization Jim Jing-Yan Wang Xin Gao 54 2 0 03 Oct 2014
Maximum mutual information regularized classification Jim Jing-Yan Wang Yi Wang Shiguang Zhao Xin Gao 40 35 0 27 Sep 2014
Structure Preserving Large Imagery Reconstruction Ju Shen Jianjun Yang Sami Taha-abusneineh Bryson R. Payne M. Hitz 3DV 22 6 0 13 Sep 2014