241 citations · 338 across the 13 of their papers we have counts for
4 papers · 1 filter
Vulnerability, Where Art Thou? An Investigation of Vulnerability Management in Android Smartphone Chipsets
Daniel Klischies, Philipp Mackensen, Veelasha Moonsamy
Vulnerabilities in Android smartphone chipsets have severe consequences, as recent real-world attacks have demonstrated that adversaries can leverage vulnerabilities to execute arb…
On the Effectiveness of Adversarial Training on Malware Classifiers
Hamid Bostani, Jacopo Cortellazzi, Daniel Arp +3
Adversarial Training (AT) is a key defense against Machine Learning evasion attacks, but its effectiveness for real-world malware detection remains poorly understood. This uncertai…
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
Hamid Bostani, Zhengyu Zhao, Veelasha Moonsamy
Machine learning (ML) has demonstrated significant advancements in Android malware detection (AMD); however, the resilience of ML against realistic evasion attacks remains a major…
Spatial-Domain Wireless Jamming with Reconfigurable Intelligent Surfaces
Philipp Mackensen, Paul Staat, Stefan Roth +3
Wireless communication infrastructure is a cornerstone of modern digital society, yet it remains vulnerable to the persistent threat of wireless jamming. Attackers can easily creat…