Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers

15 April 2020

Lingling Fan

Yang Liu

Papers citing "Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers"

21 / 21 papers shown

Title
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 33 8 0 16 Jul 2020
Adversarial Feature Selection against Evasion Attacks Fei Zhang P. Chan Battista Biggio D. Yeung Fabio Roli AAML 23 226 0 25 May 2020
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 70 196 0 03 Nov 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 49 18 0 19 May 2019
A Large-Scale Empirical Study on Industrial Fake Apps Chongbin Tang Sen Chen Lingling Fan Lihua Xu Yang Liu Zhushou Tang Liang Dou 38 38 0 02 Feb 2019
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization M. Alzantot Yash Sharma Supriyo Chakraborty Huan Zhang Cho-Jui Hsieh Mani B. Srivastava AAML 40 258 0 28 May 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 109 138 0 27 Feb 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 48 192 0 31 Dec 2017
Security Evaluation of Pattern Classifiers under Attack Battista Biggio Giorgio Fumera Fabio Roli AAML 37 442 0 02 Sep 2017
DeltaPhish: Detecting Phishing Webpages in Compromised Websites Igino Corona Battista Biggio M. Contini Luca Piras Roberto Corda Mauro Mereu Guido Mureddu Andrea Valenza Fabio Roli 50 79 0 02 Jul 2017
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach Sen Chen Minhui Xue Lingling Fan S. Hao Lihua Xu Haojin Zhu Yue Liu AAML 57 220 0 13 Jun 2017
Defending against Phishing Attacks: Taxonomy of Methods, Current Issues and Future Directions B. Gupta N. Arachchilage Konstantinos E. Psannis 16 241 0 27 May 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction Bin Liang Hongcheng Li Miaoqiang Su Xirong Li Wenchang Shi Xiaofeng Wang AAML 73 216 0 23 May 2017
Black-Box Attacks against RNN based Malware Detection Algorithms Weiwei Hu Ying Tan 30 150 0 23 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 101 1,851 0 20 May 2017
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection Ambra Demontis Marco Melis Battista Biggio Davide Maiorca Dan Arp Konrad Rieck Igino Corona Giorgio Giacinto Fabio Roli AAML 31 284 0 28 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 48 1,248 0 04 Apr 2017
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 44 3,656 0 08 Feb 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 155 18,922 0 20 Dec 2014
An Evasion and Counter-Evasion Study in Malicious Websites Detection Li Xu Zhenxin Zhan Shouhuai Xu Keying Ye AAML 46 57 0 08 Aug 2014
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 80 1,580 0 27 Jun 2012