activity
20142023
most citedExtracting Training Data from Large Language Models

273 citations · 914 across the 36 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CR2021

PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection

Talha Ongun, Oliver Spohngellert, Benjamin Miller +7

Recent self-propagating malware (SPM) campaigns compromised hundred of thousands of victim machines on the Internet. It is challenging to detect these attacks in their early stages…

cs.CR2021★ 36 cited

Living-Off-The-Land Command Detection Using Active Learning

Talha Ongun, Jack W. Stokes, Jonathan Bar Or +6

In recent years, enterprises have been targeted by advanced adversaries who leverage creative ways to infiltrate their systems and move laterally to gain access to critical data. O…

cs.CR2021

Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems

Lisa Oakley, Alina Oprea, Stavros Tripakis

Probabilistic model checking is a useful technique for specifying and verifying properties of stochastic systems including randomized protocols and reinforcement learning models. E…

cs.CR2021

Collaborative Information Sharing for ML-Based Threat Detection

Talha Ongun, Simona Boboila, Alina Oprea +4

Recently, coordinated attack campaigns started to become more widespread on the Internet. In May 2017, WannaCry infected more than 300,000 machines in 150 countries in a few days a…

cs.CR2021

On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware

Molly Buchanan, Jeffrey W. Collyer, Jack W. Davidson +6

Research and development of techniques which detect or remediate malicious network activity require access to diverse, realistic, contemporary data sets containing labeled maliciou…