A Survey on Adversarial Attacks for Malware Analysis

16 November 2021

Papers citing "A Survey on Adversarial Attacks for Malware Analysis"

9 / 9 papers shown

Title
Robustness of Selected Learning Models under Label-Flipping Attack Sarvagya Bhargava Mark Stamp AAML 66 0 0 21 Jan 2025
SoK: Leveraging Transformers for Malware Analysis Pradip Kunwar Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Elisa Bertino 90 0 0 27 May 2024
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy Maanak Gupta Charankumar Akiri Kshitiz Aryal Elisabeth Parker Lopamudra Praharaj SILM 17 368 0 03 Jul 2023
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 16 5 0 15 Feb 2022
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 40 27 0 06 Mar 2020
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems Yi Xie Cong Shi Zhuohang Li Jian-Dong Liu Yingying Chen Bo Yuan AAML 71 95 0 04 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016