Towards Adversarial Malware Detection: Lessons Learned from PDF-based
Attacks

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

2 November 2018

Battista Biggio

Giorgio Giacinto

Papers citing "Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks"

7 / 7 papers shown

Title
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 6 0 15 Feb 2022
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 44 14 0 06 Nov 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 31 639 0 16 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Risto Miikkulainen AAML 25 15 0 09 Feb 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018