2019 Presentations
Andy Applebaum: Trying to Make Meterpreter into an Adversarial Example
Konstantin Berlin: Scalable Infrastructure for Malware Labeling and Analysis
Matthew Berninger: TweetSeeker: Extracting Adversary Methods from the Twitterverse
Liam Bressler: PowerShell Malware Detection using AMSI
C. Bayan Bruss: Applying Deep Graph Representation Learning to the Malware Graph
Lara Dedic: CNN-Based Malware Visualization and Explainability
Felipe Ducau: Describing Malware via Tagging
David Elkind: Mitigating Adversarial Attacks against Machine Learning for Static Analysis
Erick Galinkin: What is the Shape of an Executable?
Apoorva Joshi: Using Lexical Features for Malicious URL Detection- A Machine Learning Approach
Brian Murphy: An Information Security Approach to Feature Engineering
Jared Nishikawa: Next Generation Process Emulation with Binee
Giorgio Severi: Exploring Backdoor Poisoning Attacks Against Malware Classifiers
Philip Tully: Learning to Rank Relevant Malware Strings Using Weak Supervision