2021 Presentations

Dmitrijs Trizna: Shell Language Processing: Unix command parsing for Machine Learning

Awalin Sopan: Improving Analyst Workflow using Event Clustering

Emily Gray: Automatic Cyber Attack Campaign Detection Using Network Traffic Data

Kate Highnam: BETH Dataset: Real Cybersecurity Data for Anomaly Detection Research

Richard Harang: SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection

Stephen Moskal: Heated Alert Triage (HeAT): Network-Agnostic Extraction of Cyber Attack Campaigns

Robert Gove: Automatic Summarization and Visualization of Incident Reports

Daniel Grahn: An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection

Chae Clark: Automated and Explained Prioritization of Incident Reports from Multiple Sources

Robert Joyce: Rank-1 Similarity Matrix Decomposition For Modeling Changes inAntivirus Consensus Through Time

Katie Paxton-Fear: Visualising an insider threat incident from witness reports using natural language processing

Ethan Rudd: Loss on Demand: Toward Discriminative-Generative Hybrid Models for Malware Classification Confidence

Nancirose Piazza: Adversarial Attacks on Deep Algorithmic Trading Policies

Aditya Kuppa: Adversarial XAI methods in Cyber Security

Tamás Vörös: Bad neighborhoods – learning malicious infrastructure at internet scale

Xigao Li: Lightweight, Emulation-Assisted Malware Classification

Sunil Vasisht: Annotating Malware Disassembly Functions Using Neural Machine Translation

Gordon Werner: CLEAR-ROAD: Extraction of Temporally Co-occurring yet Rare Critical Alerts

Nick Gregory: Using Undocumented Hardware Performance Counters to Detect Spectre-Style Attacks

Andy Applebaum: Kipple: Towards accessible, robust malware classification

Sven Cattell: Bayesian Covertrees Can Monitor Attacks Too

Shubham Jain: Talk: Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning