Improving Malware detection using adversarial attacks in android systems

preview_player
Показать описание
K. S. Wagh, Improving Malware detection using adversarial attacks in android systems
  1. Joint Conference Channel
Рекомендации по теме
Improving Malware detection 0:12:25

Improving Malware detection using adversarial attacks in android systems

Robust Malware Detection 0:25:34

Robust Malware Detection Models: Learning From Adversarial Attacks and Defenses

Exploring Adversarial Examples 0:22:42

Exploring Adversarial Examples in Malware Detection

Sadia Afroz | 0:22:29

Sadia Afroz | Recent Advances in Adversarial AI for Malware

Robust Malware Detection 0:25:34

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses - DFRWS USA 2021

Attacking Malware with 0:50:24

Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529

USENIX Security '23 0:12:29

USENIX Security '23 - Adversarial Training for Raw-Binary Malware Classifiers

Robust Android Malware 0:07:57

Robust Android Malware Detection Against Adversarial Example Attacks

Intriguing Properties of 0:16:02

Intriguing Properties of Adversarial ML Attacks in the Problem Space

MLMU BA: Machine 1:05:49

MLMU BA: Machine learning in adversarial environments for malware detection (Jakub Debski)

Towards Robust Android 0:14:29

Towards Robust Android Malware Detection Models using Adversarial Learning

Hardening Machine Learning 0:52:57

Hardening Machine Learning Defenses Against Adversarial Attacks - presented by Jugal Parikh

Mitigating Adversarial Attacks 0:26:40

Mitigating Adversarial Attacks against Machine Learning for Static Analysis

Bot vs. Bot 0:24:30

Bot vs. Bot for Evading Machine Learning Malware Detection

Adversarial EXEmples: functionality-preserving 0:43:28

Adversarial EXEmples: functionality-preserving optimization of adversarial Windows malware

NDSS 2025 - 0:15:14

NDSS 2025 - Revisiting Concept Drift in Windows Malware Detection

Transforming Cyber Defense 0:01:27

Transforming Cyber Defense Through Adversarial Behavior Detection

Eugene Vorobeychik: Adversarial 0:51:24

Eugene Vorobeychik: Adversarial Machine Learning: from Models to Practice

Nicholas Carlini: Making 0:59:19

Nicholas Carlini: Making and Measuring Progress in Adversarial Machine Learning

Enhancing Malware Detection 0:01:23

Enhancing Malware Detection and Analysis using Deep Learning and Explainable AI (XAI)

USENIX Security '23 0:11:16

USENIX Security '23 - Black-box Adversarial Example Attack towards FCG Based Android Malware...

56. Adversarial Machine 0:07:51

56. Adversarial Machine Learning

Adversarial Machine Learning 0:17:02

Adversarial Machine Learning (AML)

Mem2Img: Memory-Resident Malware 0:27:37

Mem2Img: Memory-Resident Malware Detection via Convolution Neural Network

join shbcf.ru