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Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A
  Causal Language Model Approach

Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach

3 December 2021
Junjie Hu
Mohammadreza Ebrahimi
Hsinchun Chen
    AAML
ArXiv (abs)PDFHTML

Papers citing "Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach"

6 / 6 papers shown
SoK: Leveraging Transformers for Malware Analysis
SoK: Leveraging Transformers for Malware Analysis
Pradip Kunwar
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
Elisa Bertino
454
4
0
27 May 2024
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep
  Reinforcement Learning Approach
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
Brian Etter
Junjie Hu
Mohammedreza Ebrahimi
Weifeng Li
Xin Li
Hsinchun Chen
233
3
0
04 Feb 2024
Chatbots in a Botnet World
Chatbots in a Botnet World
Forrest McKee
David Noever
323
28
0
18 Dec 2022
Privately Fine-Tuning Large Language Models with Differential Privacy
Privately Fine-Tuning Large Language Models with Differential Privacy
R. Behnia
Mohammadreza Ebrahimi
Jason L. Pacheco
B. Padmanabhan
429
70
0
26 Oct 2022
Multi-view Representation Learning from Malware to Defend Against
  Adversarial Variants
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Junjie Hu
Mohammadreza Ebrahimi
Weifeng Li
Xin Li
Hsinchun Chen
AAML
125
3
0
25 Oct 2022
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware AnalysisIEEE Access (IEEE Access), 2021
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
315
65
0
16 Nov 2021
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