Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now
Download Presentation
PPT-Adversarial Evasion-Resilient Hardware Malware Detectors

PPT-Adversarial Evasion-Resilient Hardware Malware Detectors

Author : calandra-battersby | Published Date : 2018-11-30

Nael AbuGhazaleh Joint work with Khaled Khasawneh Dmitry Ponomarev and Lei Yu Malware is Everywhere Malware is Everywhere Over 250000 malware registered every

reverse hmd malware vector hmd reverse vector malware detection features instructions rhmd hmds training period rhmds detectors overview engineering

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Adversarial Evasion-Resilient Hardware ..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Adversarial Evasion-Resilient Hardware Malware Detectors: Transcript

Show More

Related Contents

Malevolution
Malevolution
mitsue-stanley
Advanced Network Based IPS Evasion Techniques
Advanced Network Based IPS Evasion Techniques
tatyana-admore
Windows 8
Windows 8
tawny-fly
Adversarial Examples, Generative Adversarial Networks, Deep
Adversarial Examples, Generative Adversarial Networks, Deep
olivia-moreira
Adversarial
Adversarial
lindy-dunigan
Abusing File Processing in Malware Detectors for Fun and Pr
Abusing File Processing in Malware Detectors for Fun and Pr
lois-ondreau
Reviving Android Malware
Reviving Android Malware
alida-meadow
Generative Adversarial
Generative Adversarial
calandra-battersby
Adversarial Machine Learning
Adversarial Machine Learning
trish-goza
Malware-Aware Processors: A Framework for Efficient Online Malware Detection
Malware-Aware Processors: A Framework for Efficient Online Malware Detection
tatyana-admore
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
ariel
CS 404/504 Special Topics: Adversarial Machine Learning
CS 404/504 Special Topics: Adversarial Machine Learning
fauna
CS 404 / CS 504 Special Topics: Adversarial Machine Learning
CS 404 / CS 504 Special Topics: Adversarial Machine Learning
elina

Copyright © 2025 DocSlides. All Rights Reserved