ACSOS 2020 (series) / Research Papers /
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Wed 19 AugDisplayed time zone: London change
Wed 19 Aug
Displayed time zone: London change
18:45 - 20:00 | LearningResearch Papers at Presentation Room A Chair(s): Christian Krupitzer University of Würzburg, Germany | ||
18:45 25mFull-paper | DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters Research Papers Ganapathy Mani Purdue University, Vikram Pasumarti Purdue University, Bharat Bhargava Purdue University, Faisal Tariq Vora Purdue University, James MacDonald Northrop Grumman Corporation, Justin King Northrop Grumman Corporation, Jason Kobes Northrop Grumman Corporation | ||
19:10 25mFull-paper | Learning Distributed Controllers for V-Formation Research Papers Shouvik Roy Stony Brook University, Usama Mehmood Stony Brook University, Radu Grosu Vienna University of Technology, Scott Smolka Stony Brook University, Scott Stoller Stony Brook University, Ashish Tiwari Microsoft | ||
19:35 25mFull-paper | Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks Research Papers Chloe Barnes Aston University, Anikó Ekárt Aston University, Birmingham, UK, Kai Olav Ellefsen University of Oslo, Kyrre Glette University of Oslo, Peter Lewis , Jim Tørresen University of Oslo | ||