SoK: The Impact of Unlabelled Data in Cyberthreat Detection

18 May 2022

Papers citing "SoK: The Impact of Unlabelled Data in Cyberthreat Detection"

8 / 8 papers shown

Title
Nebula: Self-Attention for Dynamic Malware Analysis Dmitrijs Trizna Luca Demetrio Battista Biggio Fabio Roli 24 13 0 19 Sep 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 33 7 0 08 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 41 24 0 30 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning Ying Yuan Giovanni Apruzzese Mauro Conti AAML 23 19 0 24 Oct 2022
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 149 68 0 04 May 2021
How Did That Get In My Phone? Unwanted App Distribution on Android Devices Platon Kotzias Juan Caballero Leyla Bilge MedIm 37 36 0 20 Oct 2020