CAMLIS 2019: CONFERENCE ON APPLIED MACHINE LEARNING FOR INFORMATION SECURITY

A
Allen, Rachel	Accelerating The Alert Triage Scenario (AT-ATs): InfoSec Data Science with RAPIDS
Applebaum, Andy	Trying to Make Meterpreter into an Adversarial Example
B
Berlin, Konstantin	Scalable Infrastructure for Malware Labeling and Analysis
Berlin, Konstantin	Describing Malware via Tagging
Berninger, Matthew	TweetSeeker: Extracting Adversary Methods from the Twitterverse
Bressler, Liam	PowerShell Malware Detection using AMSI
Bruss, C. Bayan	Applying Deep Graph Representation Learning to the Malware Graph
C
Coull, Scott	Exploring Backdoor Poisoning Attacks Against Malware Classifiers
D
Dedic, Lara	CNN-Based Malware Visualization and Explainability
Ducau, Felipe	Describing Malware via Tagging
E
Elkind, David	Mitigating Adversarial Attacks against Machine Learning for Static Analysis
F
Filar, Bobby	ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships
French, David	ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships
G
Galinkin, Erick	What is the Shape of an Executable?
Gibble, Jay	Learning to Rank Relevant Malware Strings Using Weak Supervision
H
Haigh, Matthew	Learning to Rank Relevant Malware Strings Using Weak Supervision
Heppner, Tad	Describing Malware via Tagging
J
Joshi, Apoorva	Using Lexical Features for Malicious URL Detection- A Machine Learning Approach
L
Long, Alex	Describing Malware via Tagging
M
Meyer, Jim	Exploring Backdoor Poisoning Attacks Against Malware Classifiers
Murphy, Brian	An Information Security Approach to Feature Engineering
N
Nishikawa, Jared	Next Generation Process Emulation with Binee
R
Roth, Phil	EMBER Improvements
Rudd, Ethan	Describing Malware via Tagging
S
Severi, Giorgio	Exploring Backdoor Poisoning Attacks Against Malware Classifiers
Sikorski, Michael	Learning to Rank Relevant Malware Strings Using Weak Supervision
Slawinski, Michael	Applications of Graph Integration to Function Comparison and Malware Classification
T
Teschke, Matthew	CNN-Based Malware Visualization and Explainability
Tully, Philip	Learning to Rank Relevant Malware Strings Using Weak Supervision
Y
Yang, Evan C	Towards a Trustworthy and Resilient Machine Learning Classifier - a Case Study of Ransomware Behavior Detector

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