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Found 4 papers, 1 papers with code
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection
Therefore, it needs to be determined to what extent the use of a specific obfuscation strategy or tool poses a risk for the validity of ML malware detectors for Android based on static analysis features.
Gotta CAPTCHA 'Em All: A Survey of Twenty years of the Human-or-Computer Dilemma
A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [100].
Cryptography and Security
Deep Adversarial Learning on Google Home devices
Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm.
Cryptography and Security
Deep Reinforcement Learning for Black-Box Testing of Android Apps
We have developed ARES, a Deep RL approach for black-box testing of Android apps.
Software Engineering
