Model Extraction

Stealing and evading malware classifiers and antivirus at low false positive conditions

Model stealing attacks have been successfully used in many machine learning domains, but there is little understanding of how these attacks work against models that perform malware …

avatar
Maria Rigaki

The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning

Due to the proliferation of malware, defenders are increasingly turning to automation and machine learning as part of the malware detection tool-chain. However, machine learning …

avatar
Maria Rigaki