output
20042021
most citedDetecting Adversarial Samples from Artifacts

366 citations

Showing cs.CRShow all

7 papers · 1 filter

cs.CR2021★ 2 cited

Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown

Colin C. Ife, Yun Shen, Steven J. Murdoch +1

The malware and botnet phenomenon is among the most significant threats to cybersecurity today. Consequently, law enforcement agencies, security companies, and researchers are cons…

cs.CR2021★ 1 cited

ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices

Yun Shen, Gianluca Stringhini

Android's security model severely limits the capabilities of anti-malware software. Unlike commodity anti-malware solutions on desktop systems, their Android counterparts run as sa…

cs.CR2019★ 70 cited

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes

Keane Lucas, Mahmood Sharif, Lujo Bauer +2

Motivated by the transformative impact of deep neural networks (DNNs) in various domains, researchers and anti-virus vendors have proposed DNNs for malware detection from raw bytes…

cs.CR2019★ 10 cited

ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks

Yun Shen, Gianluca Stringhini

Despite the fact that cyberattacks are constantly growing in complexity, the research community still lacks effective tools to easily monitor and understand them. In particular, th…

cs.CR2019★ 15 cited

Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy

Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex +2

Local Differential Privacy (LDP) is popularly used in practice for privacy-preserving data collection. Although existing LDP protocols offer high utility for large user populations…

cs.CR2018

Detecting DGA domains with recurrent neural networks and side information

Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski +2

Modern malware typically makes use of a domain generation algorithm (DGA) to avoid command and control domains or IPs being seized or sinkholed. This means that an infected system…

cs.CR2017★ 51 cited

Practical Attacks Against Graph-based Clustering

Yizheng Chen, Yacin Nadji, Athanasios Kountouras +4

Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks. We…